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  <front>
    <journal-meta><journal-id journal-id-type="publisher">HESS</journal-id><journal-title-group>
    <journal-title>Hydrology and Earth System Sciences</journal-title>
    <abbrev-journal-title abbrev-type="publisher">HESS</abbrev-journal-title><abbrev-journal-title abbrev-type="nlm-ta">Hydrol. Earth Syst. Sci.</abbrev-journal-title>
  </journal-title-group><issn pub-type="epub">1607-7938</issn><publisher>
    <publisher-name>Copernicus Publications</publisher-name>
    <publisher-loc>Göttingen, Germany</publisher-loc>
  </publisher></journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.5194/hess-26-3901-2022</article-id><title-group><article-title>Changes in nonlinearity and stability of streamflow <?xmltex \hack{\break}?> recession characteristics under climate warming <?xmltex \hack{\break}?> in a large glaciated basin of the Tibetan Plateau</article-title><alt-title>Changes in streamflow recession characteristics under climate warming</alt-title>
      </title-group><?xmltex \runningtitle{Changes in streamflow recession characteristics under climate warming}?><?xmltex \runningauthor{J.~Wang et al.}?>
      <contrib-group>
        <contrib contrib-type="author" corresp="no" rid="aff1 aff2">
          <name><surname>Wang</surname><given-names>Jiarong</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="yes" rid="aff1 aff2">
          <name><surname>Chen</surname><given-names>Xi</given-names></name>
          <email>xichen@hhu.edu.cn</email>
        <ext-link>https://orcid.org/0000-0003-3647-5617</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Gao</surname><given-names>Man</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff3">
          <name><surname>Hu</surname><given-names>Qi</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff2">
          <name><surname>Liu</surname><given-names>Jintao</given-names></name>
          
        <ext-link>https://orcid.org/0000-0002-7014-6262</ext-link></contrib>
        <aff id="aff1"><label>1</label><institution>Institute of Surface-Earth System Science, School of Earth System Science, Tianjin University, Tianjin 300072, P. R. China</institution>
        </aff>
        <aff id="aff2"><label>2</label><institution>College of Hydrology and Water Resources, Hohai University, Nanjing 210098, P. R. China</institution>
        </aff>
        <aff id="aff3"><label>3</label><institution>School of Natural Resources and Department of Earth and Atmospheric Sciences, <?xmltex \hack{\break}?> University of Nebraska–Lincoln, Lincoln, NE 68583, USA</institution>
        </aff>
      </contrib-group>
      <author-notes><corresp id="corr1">Xi Chen (xichen@hhu.edu.cn)</corresp></author-notes><pub-date><day>28</day><month>July</month><year>2022</year></pub-date>
      
      <volume>26</volume>
      <issue>14</issue>
      <fpage>3901</fpage><lpage>3920</lpage>
      <history>
        <date date-type="received"><day>18</day><month>January</month><year>2022</year></date>
           <date date-type="accepted"><day>12</day><month>July</month><year>2022</year></date>
           <date date-type="rev-recd"><day>31</day><month>May</month><year>2022</year></date>
           <date date-type="rev-request"><day>24</day><month>January</month><year>2022</year></date>
      </history>
      <permissions>
        <copyright-statement>Copyright: © 2022 Jiarong Wang et al.</copyright-statement>
        <copyright-year>2022</copyright-year>
      <license license-type="open-access"><license-p>This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this licence, visit <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link></license-p></license></permissions><self-uri xlink:href="https://hess.copernicus.org/articles/26/3901/2022/hess-26-3901-2022.html">This article is available from https://hess.copernicus.org/articles/26/3901/2022/hess-26-3901-2022.html</self-uri><self-uri xlink:href="https://hess.copernicus.org/articles/26/3901/2022/hess-26-3901-2022.pdf">The full text article is available as a PDF file from https://hess.copernicus.org/articles/26/3901/2022/hess-26-3901-2022.pdf</self-uri>
      <abstract><title>Abstract</title>

      <p id="d1e137">The accelerated climate warming in the Tibetan Plateau after 1997 has profound consequences in hydrology, geography, and social wellbeing. In
hydrology, the change in streamflow as a result of changes in dynamic water storage that originated from glacier melt and permafrost thawing in the
warming climate directly affects the available water resources for societies of the most populated nations in the world. In this study, annual
streamflow recession characteristics are analyzed using daily climate and hydrological data during 1980–2015 in the Yarlung Zangbo River basin
(YRB) of the southern Tibetan Plateau. The recession characteristics are examined in terms of <inline-formula><mml:math id="M1" display="inline"><mml:mrow><mml:mi mathvariant="normal">d</mml:mi><mml:mi>Q</mml:mi><mml:mo>/</mml:mo><mml:mi mathvariant="normal">d</mml:mi><mml:mi>t</mml:mi></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M2" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> <inline-formula><mml:math id="M3" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula> <inline-formula><mml:math id="M4" display="inline"><mml:mrow><mml:mi>a</mml:mi><mml:msup><mml:mi>Q</mml:mi><mml:mi>b</mml:mi></mml:msup></mml:mrow></mml:math></inline-formula> and the response/sensitivity of streamflow to changes in groundwater storage. Major results show that climate warming has significantly increased the nonlinearity of the response (<inline-formula><mml:math id="M5" display="inline"><mml:mi>b</mml:mi></mml:math></inline-formula>) and streamflow stability [<inline-formula><mml:math id="M6" display="inline"><mml:mrow><mml:mtext>log</mml:mtext><mml:mo>(</mml:mo><mml:mi>a</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>] in most subbasins of the YRB. These changes in the recession characteristics are attributed to the opposite effects of increases in the available water storage and recession timescale on the recession. Climate warming has increased subbasin water storage considerably due to more recharge from accelerated glacier melting and permafrost thawing after 1997. Meanwhile, the enlarged storage lengthens recession timescales and thereby decreases the sensitivity of discharge to storage. In the recession period when recharge diminished, increased evaporation and the decreased buffering effect of frost soils under warmer temperatures accelerate the initial recession of streamflow. By contrast, enlarged storage and lengthened recession timescales slow down the recession. While reservoir regulations in some basins have helped reduce and even reverse some of these climate warming effects, this short-term remedy can only function before the solid water storage is exhausted should the climate warming continue.</p>
  </abstract>
    </article-meta>
  </front>
<body>
      

<sec id="Ch1.S1" sec-type="intro">
  <label>1</label><title>Introduction</title>
      <p id="d1e214">The warming rates of air temperature in high latitudes and high altitudes are greater than the rate of change in global average near-surface air
temperature (e.g., Pepin et al., 2015). The greater climate warming has accelerated glacier melting and permafrost thawing in cold alpine regions,
causing significant glacier and permafrost retreats (e.g., Yao et al., 2004, 2007) and landscape alternations (e.g., Niu et al., 2019). These changes
undoubtedly alter the hydrodynamics of streamflow and groundwater storage in the alpine regions and their downstream tributaries (Bense et al., 2012;
Walvoord and Striegl, 2007; Walvoord and Kurylyk, 2016; Li et al., 2018; Wang et al., 2018; Yi et al., 2021). A recent study of Wang et al. (2021) has
shown that such changes have also caused changes in the precipitation–streamflow relationship. The societal impacts of these changes are profound because they redefine freshwater availability and its seasonality for populations of billions in the downstream tributaries (e.g., Cuo et al., 2014; Zhang et al., 2013; Wang et al., 2020).</p>
      <p id="d1e217"><?xmltex \hack{\newpage}?>Many studies have found that the compound effects of glacier and permafrost retreats in the past few decades have reshaped the groundwater flow and hydrological cycle (e.g., Bring et al., 2016; Forster et al., 2014; Ji et al., 2020; Walvoord and Kurylyk, 2016). The accelerated glacier melting and permafrost thawing have increased the soil active layer thickness (ALT) and therefore enlarged groundwater storage and allowed the exchange of surface water and groundwater (Xu et al., 2017; Forster et al., 2014; Ji et al., 2020). Such an exchange further alters streamflow composition in arctic catchments (Chang et al 2008; Walvoord and Kurylyk, 2016; Bring et al., 2016) and in the northeastern and southern Tibetan Plateau (TP; Li et al., 2018; Wang et al., 2018; Yi et al., 2021).</p>
      <p id="d1e221">In those catchments, changes in groundwater storage and the subsurface moisture profile due to permafrost retreat could reroute subsurface flow paths during low flows (Koch et al., 2014; Payn et al., 2012). The thickened ALT allows infiltration through the previously permafrost layer into aquifers
and thus increases the recharge in permafrost basins. It has been reported that the permafrost loss in the past decades has enhanced regional groundwater circulation (shortening its timescale) with more discharge to stream flows (Ji et al., 2020; Walvoord et al., 2012). As an example, the baseflow in the source region of the Yangtze River increased at a rate of 1.35 <inline-formula><mml:math id="M7" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">mm</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">a</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> during 1962–2012, following the annual temperature rise of 1.32 <inline-formula><mml:math id="M8" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup><mml:mi mathvariant="normal">C</mml:mi></mml:mrow></mml:math></inline-formula> (Yi et al., 2021) and 1.09 <inline-formula><mml:math id="M9" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">mm</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">a</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> during 1979–2013 in glacierized basins in the TP, with its annual temperature rise of 0.98 <inline-formula><mml:math id="M10" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup><mml:mi mathvariant="normal">C</mml:mi></mml:mrow></mml:math></inline-formula> (Lin et al., 2020). Walvoord and Striegl (2007) found that the groundwater contribution to streamflow in an arctic basin increased by 0.7 %–0.9 % per year from the 1950s to 2005, following its annual temperature rise of 1.24 <inline-formula><mml:math id="M11" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup><mml:mi mathvariant="normal">C</mml:mi></mml:mrow></mml:math></inline-formula> during that period.</p>
      <p id="d1e294">The effects of these changes in water budget and subsurface moisture profile on hydrographs are complicated in high altitude/frozen areas. The increase in
ALT could reduce the buffering effect of soils on streamflow variability and thereby increase the baseflow recession rate (Lyon et al., 2009; Lyon and
Destouni, 2010; Brutsaert and Hiyama, 2012). On the other hand, the increase in ALT enlarges groundwater storage and subsequently strengthens aquifer
regulations on groundwater flow and slows the recession rate (Lin et al., 2020; Mao and Wang, 2016). These effects on the recession rate can result in
the strongly nonlinear behavior of streamflow in time and space.</p>
      <p id="d1e298">During periods of little or no precipitation, the baseflow recession (<inline-formula><mml:math id="M12" display="inline"><mml:mrow><mml:mi mathvariant="normal">d</mml:mi><mml:mi>Q</mml:mi><mml:mo>/</mml:mo><mml:mi mathvariant="normal">d</mml:mi><mml:mi>t</mml:mi></mml:mrow></mml:math></inline-formula> vs. <inline-formula><mml:math id="M13" display="inline"><mml:mi>Q</mml:mi></mml:math></inline-formula>, where <inline-formula><mml:math id="M14" display="inline"><mml:mi>Q</mml:mi></mml:math></inline-formula> is discharge) is typically
described by a power law <inline-formula><mml:math id="M15" display="inline"><mml:mrow><mml:mi mathvariant="normal">d</mml:mi><mml:mi>Q</mml:mi><mml:mo>/</mml:mo><mml:mi mathvariant="normal">d</mml:mi><mml:mi>t</mml:mi></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M16" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> <inline-formula><mml:math id="M17" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula> <inline-formula><mml:math id="M18" display="inline"><mml:mrow><mml:mi>a</mml:mi><mml:msup><mml:mi>Q</mml:mi><mml:mi>b</mml:mi></mml:msup></mml:mrow></mml:math></inline-formula> (Brutsaert and Nieber, 1977; Tallaksen, 1995). The depletion of baseflow in
relation to the parameters <inline-formula><mml:math id="M19" display="inline"><mml:mi>a</mml:mi></mml:math></inline-formula> and <inline-formula><mml:math id="M20" display="inline"><mml:mi>b</mml:mi></mml:math></inline-formula> contains valuable information concerning storage properties and aquifer characteristics of basins (Tallaksen, 1995). The recession-scale parameter <inline-formula><mml:math id="M21" display="inline"><mml:mi>a</mml:mi></mml:math></inline-formula> is a function of the hydraulic and geometric properties of the aquifer of a basin and can be used as a proxy for determining the effective depth of permafrost in frozen areas (Lyon and Destouni, 2010). The parameter <inline-formula><mml:math id="M22" display="inline"><mml:mi>b</mml:mi></mml:math></inline-formula> as reflected in the concavity of the hydrograph or the nonlinearity of recession (Dralle et al., 2017) is a function of boundary conditions to describe the equivalent water depth profile of an aquifer (Brutsaert and Nieber, 1977; Tashie et al., 2020). So, <inline-formula><mml:math id="M23" display="inline"><mml:mi>b</mml:mi></mml:math></inline-formula> can be interpreted as a measure of the diversity of water transport timescales throughout various parts of a catchment (Harman et al., 2009). Therefore, the variations in <inline-formula><mml:math id="M24" display="inline"><mml:mi>a</mml:mi></mml:math></inline-formula> and <inline-formula><mml:math id="M25" display="inline"><mml:mi>b</mml:mi></mml:math></inline-formula> in time and space can describe recession characteristics of a basin (e.g., Brutsaert and Nieber, 1977; Kirchner, 2009).</p>
      <p id="d1e425">For the effects of <inline-formula><mml:math id="M26" display="inline"><mml:mi>a</mml:mi></mml:math></inline-formula> and <inline-formula><mml:math id="M27" display="inline"><mml:mi>b</mml:mi></mml:math></inline-formula> on the recession characteristics, Tashie et al. (2019) defined <inline-formula><mml:math id="M28" display="inline"><mml:mrow><mml:mtext>log</mml:mtext><mml:mo>(</mml:mo><mml:mi>a</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> as the stability of streamflow and <inline-formula><mml:math id="M29" display="inline"><mml:mi>b</mml:mi></mml:math></inline-formula>
as recession nonlinearity. For individual events, an increase in the relative value of <inline-formula><mml:math id="M30" display="inline"><mml:mi>a</mml:mi></mml:math></inline-formula> between events indicates decreased streamflow stability, while an increase in <inline-formula><mml:math id="M31" display="inline"><mml:mi>b</mml:mi></mml:math></inline-formula> indicates increased nonlinearity. Changes in the recession characteristics in time reflect their vulnerability to climatic and anthropogenic forcings (Berghuijs et al., 2016; Brooks et al., 2015; Buttle, 2018). Streamflow stability, <inline-formula><mml:math id="M32" display="inline"><mml:mrow><mml:mtext>log</mml:mtext><mml:mo>(</mml:mo><mml:mi>a</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>, has a significant seasonal cycle in over 99 % of the basins in the continental United States (Tashie et al., 2020). Moistening climate in catchments could increase the
diversity of flow paths and the nonlinear relationships between storage/recharge and discharge (Brutsaert and Nieber, 1977; Hinzman et al., 2020). In cold climate regions, reduced glacier size can lead to considerable amplification of the seasonality of streamflow (Juen et al., 2007; Vuille et al., 2008). Hinzman et al. (2020) reported a widespread increase in the nonlinearity of recessions in northern Sweden due to climate warming. In addition, they found that this nonlinearity is significantly higher in warm winters than in cold winters. These analyses were performed under the assumption that <inline-formula><mml:math id="M33" display="inline"><mml:mi>a</mml:mi></mml:math></inline-formula> and <inline-formula><mml:math id="M34" display="inline"><mml:mi>b</mml:mi></mml:math></inline-formula> are effectively decorrelated. However, because changes in <inline-formula><mml:math id="M35" display="inline"><mml:mi>a</mml:mi></mml:math></inline-formula> in time are dependent on discharge <inline-formula><mml:math id="M36" display="inline"><mml:mi>Q</mml:mi></mml:math></inline-formula>, <inline-formula><mml:math id="M37" display="inline"><mml:mrow><mml:mtext>log</mml:mtext><mml:mo>(</mml:mo><mml:mi>a</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> may be strongly correlated with <inline-formula><mml:math id="M38" display="inline"><mml:mi>b</mml:mi></mml:math></inline-formula> in individual events (Dralle et al. 2015; Biswal, 2021). Dralle et al. (2015) proposed a rescaling technique that eliminates the scale dependence of fitted power law parameters. Biswal (2021) selected the median of the values of <inline-formula><mml:math id="M39" display="inline"><mml:mi>b</mml:mi></mml:math></inline-formula> in individual events as the fixed <inline-formula><mml:math id="M40" display="inline"><mml:mi>b</mml:mi></mml:math></inline-formula> value and used it to find the event values of <inline-formula><mml:math id="M41" display="inline"><mml:mi>a</mml:mi></mml:math></inline-formula>.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F1" specific-use="star"><?xmltex \currentcnt{1}?><?xmltex \def\figurename{Figure}?><label>Figure 1</label><caption><p id="d1e565"><bold>(a)</bold> Geographical location of the Yarlung Zangbo River basin (YRB; the entire basin is above the hydrological station of Nuxia) and its five subbasins (NGS for Nugesha, YC for Yangcun, NX for Nuxia, YBJ for Yangbajain, and LS for Lhasa) from upstream to downstream. <bold>(b)</bold> Distributions of permafrost and seasonally frozen ground in 2012 and active tensile faults (the red dotted lines).</p></caption>
        <?xmltex \igopts{width=426.791339pt}?><graphic xlink:href="https://hess.copernicus.org/articles/26/3901/2022/hess-26-3901-2022-f01.png"/>

      </fig>

      <p id="d1e579">In the southern TP, the Yarlung Zangbo River basin (YRB; Fig. 1a) has decades of observations and offers an opportunity to estimate variations in the
recession characteristics of streamflow in glaciated areas of TP. Using those data, some recent studies have shown that the climate of the area has
become warmer and wetter from 1980–2015 (e.g., Wang et al., 2021). Climate warming has reduced the buffering effect of glacial and permafrost on
streamflow, leading to catchment property change with a shorter streamflow response time to precipitation (Wang et al., 2021). These changes must have
affected streamflow recession characteristics.</p>
      <p id="d1e582">The objective of this study is to investigate temporal and spatial variations in streamflow recession characteristics driven by climate and landscape
changes in the glaciated basin of the YRB. The changes in these characteristics are examined using comparisons and contrasts of streamflow recessions indifferent subbasins and time periods according to the power law. To describe the temporal variability in the recession characteristics under climate warming, the decorrelation method by Dralle et al. (2015) is used to obtain a recession parameter <inline-formula><mml:math id="M42" display="inline"><mml:mrow><mml:msup><mml:mi>a</mml:mi><mml:mo>′</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula> independent of <inline-formula><mml:math id="M43" display="inline"><mml:mi>b</mml:mi></mml:math></inline-formula> from individual
recessions over the period of 1980–2015. Then, the <inline-formula><mml:math id="M44" display="inline"><mml:mrow><mml:msup><mml:mi>a</mml:mi><mml:mo>′</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M45" display="inline"><mml:mi>b</mml:mi></mml:math></inline-formula> are regressed with mean temperature in recession periods for each subbasin of
YRB. A sensitivity analysis reveals the effect of climate warming on the recession parameters, recession rates, and storage/recharge–discharge relations of different subbasins of YRB. They show the extent of the nonlinearity in the variation of the streamflow recessions in this glaciated basin of TP.</p>
</sec>
<sec id="Ch1.S2">
  <label>2</label><title>Study region and data</title>
      <p id="d1e629">The YRB (28.2–31.2<inline-formula><mml:math id="M46" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, 82.0–94.9<inline-formula><mml:math id="M47" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E) is the largest river basin in TP (Fig. 1). The main stem of YRB is formed by major suture zones in southern TP from the collision of the Indian plate and the Eurasian plate. The modern YRB flows along the suture from the west to the east before bending to the south at the eastern Himalayan syntaxes with an average west–east gradient of about 2.63 ‰ (Fig. 1a; Tan et al., 2021). In this study, we selected the upstream area of the great gorge of YRB (main stem about 1100 <inline-formula><mml:math id="M48" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">km</mml:mi></mml:mrow></mml:math></inline-formula>, with an area of  2.0 <inline-formula><mml:math id="M49" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 10<inline-formula><mml:math id="M50" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">5</mml:mn></mml:msup></mml:math></inline-formula> <inline-formula><mml:math id="M51" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi mathvariant="normal">km</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>). The elevation of the study area drops drastically from 6234 <inline-formula><mml:math id="M52" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula> in the west to 2030 <inline-formula><mml:math id="M53" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula> in the east (Yao et al., 2007; Wang et al., 2021).</p>
      <p id="d1e702">Climate in YRB is heavily influenced by the Indian monsoon in summer and the westerlies in winter (Ren et al., 2018; Tian et al., 2020). From the west
to the east of the basin, mean annual temperature varies from <inline-formula><mml:math id="M54" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>9.3 to 22.0 <inline-formula><mml:math id="M55" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup><mml:mi mathvariant="normal">C</mml:mi></mml:mrow></mml:math></inline-formula>, and the mean annual precipitation from 300 to
1050 <inline-formula><mml:math id="M56" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">mm</mml:mi></mml:mrow></mml:math></inline-formula>. Nearly 90 % of the annual precipitation falls during June to September. As a result, the mean annual total streamflow of the entire basin, 289.7 <inline-formula><mml:math id="M57" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">mm</mml:mi></mml:mrow></mml:math></inline-formula> is highly unevenly distributed in seasons. The summer streamflow is derived from monsoon rainfall and glacier
meltwater. Groundwater accounts for about 55 % of the annual streamflow upstream and 27 % downstream of the YRB (Yao et al., 2021).</p>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T1" specific-use="star"><?xmltex \currentcnt{1}?><label>Table 1</label><caption><p id="d1e743">Information of the data used in this study.</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="5">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="justify" colwidth="25mm"/>
     <oasis:colspec colnum="3" colname="col3" align="justify" colwidth="21mm"/>
     <oasis:colspec colnum="4" colname="col4" align="justify" colwidth="21mm"/>
     <oasis:colspec colnum="5" colname="col5" align="justify" colwidth="50mm"/>
     <oasis:thead>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Data</oasis:entry>
         <oasis:entry colname="col2">Period</oasis:entry>
         <oasis:entry colname="col3">Spatial resolution</oasis:entry>
         <oasis:entry colname="col4">Temporal resolution</oasis:entry>
         <oasis:entry colname="col5">Source</oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>
         <oasis:entry colname="col1">Precipitation (<inline-formula><mml:math id="M58" display="inline"><mml:mi>P</mml:mi></mml:math></inline-formula>, <inline-formula><mml:math id="M59" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">mm</mml:mi></mml:mrow></mml:math></inline-formula>)</oasis:entry>
         <oasis:entry colname="col2">1980–2015</oasis:entry>
         <oasis:entry colname="col3">0.1<inline-formula><mml:math id="M60" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> <inline-formula><mml:math id="M61" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 0.1<inline-formula><mml:math id="M62" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col4">Daily</oasis:entry>
         <oasis:entry colname="col5">National Tibetan Plateau Data Center;<?xmltex \hack{\hfill\break}?> <uri>http://data.tpdc.ac.cn</uri> (last access: 16 November 2020) and <?xmltex \hack{\hfill\break}?> <uri>http://data.cma.cn</uri> (last access: 26 November 2020)</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Mean temperature (<inline-formula><mml:math id="M63" display="inline"><mml:mi>T</mml:mi></mml:math></inline-formula>, <inline-formula><mml:math id="M64" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup><mml:mi mathvariant="normal">C</mml:mi></mml:mrow></mml:math></inline-formula>)</oasis:entry>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3"/>
         <oasis:entry colname="col4"/>
         <oasis:entry colname="col5"/>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Evapotranspiration (<inline-formula><mml:math id="M65" display="inline"><mml:mi>E</mml:mi></mml:math></inline-formula>, <inline-formula><mml:math id="M66" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">mm</mml:mi></mml:mrow></mml:math></inline-formula>)</oasis:entry>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3">Obs. stations</oasis:entry>
         <oasis:entry colname="col4">Daily</oasis:entry>
         <oasis:entry colname="col5"/>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Discharge (<inline-formula><mml:math id="M67" display="inline"><mml:mi>Q</mml:mi></mml:math></inline-formula>, <inline-formula><mml:math id="M68" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">mm</mml:mi></mml:mrow></mml:math></inline-formula>)</oasis:entry>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3"/>
         <oasis:entry colname="col4"/>
         <oasis:entry colname="col5"/>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">NDVI</oasis:entry>
         <oasis:entry colname="col2">1982–2015</oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M69" display="inline"><mml:mrow><mml:mn mathvariant="normal">1</mml:mn><mml:mo>/</mml:mo><mml:mn mathvariant="normal">12</mml:mn></mml:mrow></mml:math></inline-formula><inline-formula><mml:math id="M70" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> <inline-formula><mml:math id="M71" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> <inline-formula><mml:math id="M72" display="inline"><mml:mrow><mml:mn mathvariant="normal">1</mml:mn><mml:mo>/</mml:mo><mml:mn mathvariant="normal">12</mml:mn></mml:mrow></mml:math></inline-formula><inline-formula><mml:math id="M73" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col4">15 <inline-formula><mml:math id="M74" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">d</mml:mi></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col5"><uri>http://data.tpdc.ac.cn</uri> (last access: 26 November 2020)</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Glacial area</oasis:entry>
         <oasis:entry colname="col2">1976, 2000, 2013</oasis:entry>
         <oasis:entry colname="col3">30 <inline-formula><mml:math id="M75" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M76" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 30 <inline-formula><mml:math id="M77" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col4">Annual</oasis:entry>
         <oasis:entry colname="col5"><uri>http://data.tpdc.ac.cn</uri> (last access: 26 November 2020) and China's second glacier catalogue data</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2">2006–2011<?xmltex \hack{\hfill\break}?>(in 2009)</oasis:entry>
         <oasis:entry colname="col3">1 <inline-formula><mml:math id="M78" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">km</mml:mi></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M79" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 1 <inline-formula><mml:math id="M80" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">km</mml:mi></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col4">Mean annual</oasis:entry>
         <oasis:entry colname="col5"/>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Permafrost and frozen ground</oasis:entry>
         <oasis:entry colname="col2">1983–1996, 1997,<?xmltex \hack{\hfill\break}?>2003, 2012, 2017</oasis:entry>
         <oasis:entry colname="col3"/>
         <oasis:entry colname="col4">Mean annual</oasis:entry>
         <oasis:entry colname="col5"><uri>http://data.tpdc.ac.cn</uri> (last access: 26 November 2020)</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Active layer thickness (ALT)</oasis:entry>
         <oasis:entry colname="col2">1980–2015</oasis:entry>
         <oasis:entry colname="col3">0.1<inline-formula><mml:math id="M81" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> <inline-formula><mml:math id="M82" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 0.1<inline-formula><mml:math id="M83" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col4">Annual</oasis:entry>
         <oasis:entry colname="col5">Calculated by a linear function from Xu et al. (2017)</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table></table-wrap>

      <p id="d1e1165">There are four hydrological stations along the main stem of YRB, namely LZ, NGS, YC, and NX, as shown in Fig. 1a. There are two additional hydrological stations, YBJ and LS, located in the major tributaries of the Lhasa River, which originates from the Nyainqêntanglha Mountains north of the YRB (Fig. 1a). Daily streamflow data from 1980 to 2015 are available at these hydrological stations, except for LZ. Accordingly, we divide YRB into five subbasins, with three nested subbasins of NGS, YC, and NX in the main stem of YRB and two subbasins of YBJ and LS in the tributaries of the Lhasa River.</p>
      <p id="d1e1168">There are four main dams/reservoirs (marked by the purple squares in Fig. 1a) in the YRB above the hydrological station of NX. The reservoirs, ML, ZK, PD,
and ZM (Manla, Zhikong, Pangduo, and Zangmu, respectively), were built in 1999, 2003, 2007, and 2014, respectively. The reservoirs ML, PD, and ZM are operated daily, while ZK is operated seasonally. The impact of reservoir regulations on streamflow is minor for the subbasins NGS, YC, and NX in the main stem of the YRB because the reservoirs are operated daily and affect less than 10 % of the areas of the tributaries. In the tributary of the Lhasa River, the subbasin YBJ has no reservoirs while, the subbasin LS has two reservoirs, PD and ZK, which have impacts on streamflow.</p>
      <p id="d1e1171">Daily gridded data (0.1<inline-formula><mml:math id="M84" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> <inline-formula><mml:math id="M85" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 0.1<inline-formula><mml:math id="M86" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> spatial resolution) of precipitation (<inline-formula><mml:math id="M87" display="inline"><mml:mi>P</mml:mi></mml:math></inline-formula>) and mean surface air temperature (<inline-formula><mml:math id="M88" display="inline"><mml:mi>T</mml:mi></mml:math></inline-formula>) during
1980–2015 were provided by the National Tibetan Plateau Data Center (Yang and He, 2019; He et al., 2020; <uri>http://data.tpdc.ac.cn</uri>, last access: 26 November 2020). The subbasin-averaged <inline-formula><mml:math id="M89" display="inline"><mml:mi>P</mml:mi></mml:math></inline-formula> and <inline-formula><mml:math id="M90" display="inline"><mml:mi>T</mml:mi></mml:math></inline-formula> are calculated by the geometric mean of the gridded data.</p>
      <p id="d1e1231">Data of the glacier area and permafrost area, and the normalized difference vegetation index (NDVI) were collected from National Tibetan Plateau Data
Center (Table 1; <uri>http://data.tpdc.ac.cn</uri>, last access: 26 November 2020). Glacier areas are located at altitudes from 3370 to
6460 <inline-formula><mml:math id="M91" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula> above sea level (Fig. 1a). Before 2000, the glacier and permafrost area accounted for 1.88 % and 41.8 % of the YRB area,
respectively. These coverage percentages have reduced significantly since 2000 (Table 2). The annual mean NDVI was calculated using the maximum value synthesis method from the Global GIMMS NDVI3g v1 dataset, with a 15 <inline-formula><mml:math id="M92" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">d</mml:mi></mml:mrow></mml:math></inline-formula> temporal resolution and <inline-formula><mml:math id="M93" display="inline"><mml:mrow><mml:mn mathvariant="normal">1</mml:mn><mml:mo>/</mml:mo><mml:mn mathvariant="normal">12</mml:mn></mml:mrow></mml:math></inline-formula><inline-formula><mml:math id="M94" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> spatial resolution. The vegetation types are mainly alpine meadow, alpine steppe in the upstream (LZ), alpine shrubs and grasslands in the middle region (LZ-NGS), and alpine grassland and forest in the lower YRB (NGS-NX; Liu et al., 2014).</p>
      <p id="d1e1273">The annual depth of glacial melt data (<inline-formula><mml:math id="M95" display="inline"><mml:mi>G</mml:mi></mml:math></inline-formula>) during 1980–2015 is estimated using the degree day model (Su et al., 2015; Liu and Zhang, 2018). The
calculation procedures are detailed in Wang et al. (2021). The annual ALT is estimated using a linear statistical function of the air freezing index
(<inline-formula><mml:math id="M96" display="inline"><mml:mrow><mml:msub><mml:mtext>FI</mml:mtext><mml:mtext>air</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula>) described in Xu et al. (2017), where <inline-formula><mml:math id="M97" display="inline"><mml:mrow><mml:msub><mml:mtext>FI</mml:mtext><mml:mtext>air</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> is calculated according to the cumulative value of daily mean temperature below 0 <inline-formula><mml:math id="M98" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup><mml:mi mathvariant="normal">C</mml:mi></mml:mrow></mml:math></inline-formula> in a year.</p>
      <p id="d1e1317">After the warm season (June–September), there is little precipitation (Hayashi, 2020) in YRB, and the melting of the snow and glacier is minor due to cold temperatures (<inline-formula><mml:math id="M99" display="inline"><mml:mo lspace="0mm">&lt;</mml:mo></mml:math></inline-formula> <inline-formula><mml:math id="M100" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>5 <inline-formula><mml:math id="M101" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup><mml:mi mathvariant="normal">C</mml:mi></mml:mrow></mml:math></inline-formula>; Fig. 3). Subsequently, the flow discharge recedes from September to February of the following year. In this study, we use the daily discharge (<inline-formula><mml:math id="M102" display="inline"><mml:mrow><mml:msub><mml:mi>Q</mml:mi><mml:mi mathvariant="normal">t</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>) in this recession period, which is defined as being from 1 October to 15 February of the following year, in our analysis of the recession process.</p>
</sec>
<sec id="Ch1.S3">
  <label>3</label><title>Methodologies</title>
<sec id="Ch1.S3.SS1">
  <label>3.1</label><title>Detection of changes in annual climate and hydrological series</title>
      <p id="d1e1372">The Mann–Kendall (MK) method (Mann, 1945; Kendall, 1975) combines a trend-free prewhitening treatment (TFPW-MK; Yue and Wang, 2002) with a Sen slope (Sen, 1968). The TFPW-MK is used in this study to test the temporal trend of annual variations in meteorological and hydrological elements at the
specified significance level of <inline-formula><mml:math id="M103" display="inline"><mml:mi mathvariant="italic">α</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M104" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 0.05.</p>
      <p id="d1e1389">The Pettitt method is applied to detect the change point (year) of annual hydrological and meteorological variables. the Pettitt method is nonparametric and has been widely used in mutation point detection (Pettitt, 1979; Mallakpour and Villarini, 2016; Wang et al., 2021).</p>
</sec>
<sec id="Ch1.S3.SS2">
  <label>3.2</label><title>Streamflow recession analysis</title>
      <p id="d1e1400">Based on analytical solutions to the Boussinesq equation, the relationship of streamflow (<inline-formula><mml:math id="M105" display="inline"><mml:mi>Q</mml:mi></mml:math></inline-formula> in units of <inline-formula><mml:math id="M106" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">mm</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">d</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>) and streamflow change
(<inline-formula><mml:math id="M107" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mi mathvariant="normal">d</mml:mi><mml:mi>Q</mml:mi><mml:mo>/</mml:mo><mml:mi mathvariant="normal">d</mml:mi><mml:mi>t</mml:mi></mml:mrow></mml:math></inline-formula>; <inline-formula><mml:math id="M108" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">mm</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">d</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>) in a recession period can be expressed by the power law, as follows (Brutsaert and Nieber, 1977):
            <disp-formula id="Ch1.E1" content-type="numbered"><label>1</label><mml:math id="M109" display="block"><mml:mrow><mml:mo>-</mml:mo><mml:mi mathvariant="normal">d</mml:mi><mml:mi>Q</mml:mi><mml:mo>/</mml:mo><mml:mi mathvariant="normal">d</mml:mi><mml:mi>t</mml:mi><mml:mo>=</mml:mo><mml:mi>a</mml:mi><mml:msup><mml:mi>Q</mml:mi><mml:mi>b</mml:mi></mml:msup><mml:mo>,</mml:mo></mml:mrow></mml:math></disp-formula>
          where <inline-formula><mml:math id="M110" display="inline"><mml:mi>a</mml:mi></mml:math></inline-formula> (<inline-formula><mml:math id="M111" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi mathvariant="normal">mm</mml:mi><mml:mrow><mml:mn mathvariant="normal">1</mml:mn><mml:mo>-</mml:mo><mml:mi mathvariant="normal">b</mml:mi></mml:mrow></mml:msup><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">d</mml:mi><mml:mrow><mml:mi mathvariant="normal">b</mml:mi><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>) and <inline-formula><mml:math id="M112" display="inline"><mml:mi>b</mml:mi></mml:math></inline-formula> (dimensionless) are the recession coefficients (Brutsaert and Nieber,
1977; Tashie et al., 2020).</p>
      <p id="d1e1533">Based on Eq. (<xref ref-type="disp-formula" rid="Ch1.E1"/>), the relationship between groundwater storage (<inline-formula><mml:math id="M113" display="inline"><mml:mi>S</mml:mi></mml:math></inline-formula>) and streamflow can be derived, as follows:
            <disp-formula id="Ch1.E2" content-type="numbered"><label>2</label><mml:math id="M114" display="block"><mml:mrow><mml:mi>S</mml:mi><mml:mo>=</mml:mo><mml:mi>K</mml:mi><mml:msup><mml:mi>Q</mml:mi><mml:mi>m</mml:mi></mml:msup><mml:mo>,</mml:mo></mml:mrow></mml:math></disp-formula>
          where <inline-formula><mml:math id="M115" display="inline"><mml:mi>K</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M116" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> <inline-formula><mml:math id="M117" display="inline"><mml:mrow><mml:mo>[</mml:mo><mml:mi>a</mml:mi><mml:mo>⋅</mml:mo><mml:mo>(</mml:mo><mml:mn mathvariant="normal">2</mml:mn><mml:mo>-</mml:mo><mml:mi>b</mml:mi><mml:mo>)</mml:mo><mml:msup><mml:mo>]</mml:mo><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> (<inline-formula><mml:math id="M118" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi mathvariant="normal">mm</mml:mi><mml:mrow><mml:mi mathvariant="normal">b</mml:mi><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">d</mml:mi><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>-</mml:mo><mml:mi mathvariant="normal">b</mml:mi></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>), and <inline-formula><mml:math id="M119" display="inline"><mml:mrow><mml:mi>m</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">2</mml:mn><mml:mo>-</mml:mo><mml:mi>b</mml:mi></mml:mrow></mml:math></inline-formula>.</p>
      <p id="d1e1652">The recession timescale (<inline-formula><mml:math id="M120" display="inline"><mml:mi mathvariant="italic">τ</mml:mi></mml:math></inline-formula>) measures the recession rates of individual recessions (Kirchner, 2009) and is defined as follows:
            <disp-formula id="Ch1.E3" content-type="numbered"><label>3</label><mml:math id="M121" display="block"><mml:mrow><mml:mi mathvariant="italic">τ</mml:mi><mml:mo>=</mml:mo><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mrow><mml:mi mathvariant="normal">d</mml:mi><mml:mi>S</mml:mi></mml:mrow><mml:mrow><mml:mi mathvariant="normal">d</mml:mi><mml:mi>Q</mml:mi></mml:mrow></mml:mfrac></mml:mstyle><mml:mo>=</mml:mo><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mn mathvariant="normal">1</mml:mn><mml:mrow><mml:mi>a</mml:mi><mml:msup><mml:mi>Q</mml:mi><mml:mrow><mml:mi>b</mml:mi><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:mfrac></mml:mstyle><mml:mo>.</mml:mo></mml:mrow></mml:math></disp-formula></p>
      <p id="d1e1704">From Eqs. (<xref ref-type="disp-formula" rid="Ch1.E1"/>)–(<xref ref-type="disp-formula" rid="Ch1.E3"/>), the storage sensitivity of discharge (<inline-formula><mml:math id="M122" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">λ</mml:mi><mml:mi mathvariant="normal">S</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>) for the recession curve (Berghuijs et al., 2016) is as follows:
            <disp-formula id="Ch1.E4" content-type="numbered"><label>4</label><mml:math id="M123" display="block"><mml:mrow><mml:msub><mml:mi mathvariant="italic">λ</mml:mi><mml:mi mathvariant="normal">S</mml:mi></mml:msub><mml:mo>=</mml:mo><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mrow><mml:mi mathvariant="normal">d</mml:mi><mml:mi>Q</mml:mi><mml:mo>/</mml:mo><mml:mi>Q</mml:mi></mml:mrow><mml:mrow><mml:mi mathvariant="normal">d</mml:mi><mml:mi>S</mml:mi></mml:mrow></mml:mfrac></mml:mstyle><mml:mo>=</mml:mo><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mn mathvariant="normal">1</mml:mn><mml:mrow><mml:mi mathvariant="italic">τ</mml:mi><mml:mi>Q</mml:mi></mml:mrow></mml:mfrac></mml:mstyle><mml:mo>=</mml:mo><mml:mi>a</mml:mi><mml:msup><mml:mi>Q</mml:mi><mml:mrow><mml:mi>b</mml:mi><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup><mml:mo>,</mml:mo></mml:mrow></mml:math></disp-formula>
          where <inline-formula><mml:math id="M124" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">λ</mml:mi><mml:mi mathvariant="normal">S</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> (<inline-formula><mml:math id="M125" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi mathvariant="normal">mm</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>) is a measure of the sensitivity of instantaneous discharge values to water storage changes and indicates
the fractional increase in discharge for each unit of increase in storage. The larger (or smaller) the values of <inline-formula><mml:math id="M126" display="inline"><mml:mi>a</mml:mi></mml:math></inline-formula> (or <inline-formula><mml:math id="M127" display="inline"><mml:mi>b</mml:mi></mml:math></inline-formula>) are, the more sensitive
the discharge is to water storage.</p>
      <p id="d1e1819">Both the relationships of <inline-formula><mml:math id="M128" display="inline"><mml:mrow><mml:mo>(</mml:mo><mml:mo>-</mml:mo><mml:mi mathvariant="normal">d</mml:mi><mml:mi>Q</mml:mi><mml:mo>/</mml:mo><mml:mi mathvariant="normal">d</mml:mi><mml:mi>t</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>–<inline-formula><mml:math id="M129" display="inline"><mml:mi>Q</mml:mi></mml:math></inline-formula> and <inline-formula><mml:math id="M130" display="inline"><mml:mi>S</mml:mi></mml:math></inline-formula>–<inline-formula><mml:math id="M131" display="inline"><mml:mi>Q</mml:mi></mml:math></inline-formula> are linear if <inline-formula><mml:math id="M132" display="inline"><mml:mrow><mml:mi>b</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:math></inline-formula> and nonlinear if <inline-formula><mml:math id="M133" display="inline"><mml:mrow><mml:mi>b</mml:mi><mml:mo>≠</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:math></inline-formula>. When <inline-formula><mml:math id="M134" display="inline"><mml:mrow><mml:mi>b</mml:mi><mml:mo>≠</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:math></inline-formula>, the discharge recession is as follows:
            <disp-formula id="Ch1.E5" content-type="numbered"><label>5</label><mml:math id="M135" display="block"><mml:mrow><mml:msub><mml:mi>Q</mml:mi><mml:mi mathvariant="normal">t</mml:mi></mml:msub><mml:mo>=</mml:mo><mml:msub><mml:mi>Q</mml:mi><mml:mn mathvariant="normal">0</mml:mn></mml:msub><mml:msup><mml:mfenced close=")" open="("><mml:mrow><mml:mn mathvariant="normal">1</mml:mn><mml:mo>+</mml:mo><mml:msubsup><mml:mi>Q</mml:mi><mml:mn mathvariant="normal">0</mml:mn><mml:mrow><mml:mi>b</mml:mi><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msubsup><mml:mi>a</mml:mi><mml:mo>(</mml:mo><mml:mi>b</mml:mi><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn><mml:mo>)</mml:mo><mml:mi>t</mml:mi></mml:mrow></mml:mfenced><mml:mrow><mml:mn mathvariant="normal">1</mml:mn><mml:mo>/</mml:mo><mml:mo>(</mml:mo><mml:mn mathvariant="normal">1</mml:mn><mml:mo>-</mml:mo><mml:mi>b</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:msup><mml:mo>,</mml:mo></mml:mrow></mml:math></disp-formula>
          where <inline-formula><mml:math id="M136" display="inline"><mml:mrow><mml:msub><mml:mi>Q</mml:mi><mml:mn mathvariant="normal">0</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M137" display="inline"><mml:mrow><mml:msub><mml:mi>Q</mml:mi><mml:mi mathvariant="normal">t</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> are the initial (<inline-formula><mml:math id="M138" display="inline"><mml:mrow><mml:mi>t</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0</mml:mn></mml:mrow></mml:math></inline-formula>) discharge and discharge at time <inline-formula><mml:math id="M139" display="inline"><mml:mi>t</mml:mi></mml:math></inline-formula>. For any specific initial discharge <inline-formula><mml:math id="M140" display="inline"><mml:mrow><mml:msub><mml:mi>Q</mml:mi><mml:mn mathvariant="normal">0</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>, the larger
the <inline-formula><mml:math id="M141" display="inline"><mml:mi>b</mml:mi></mml:math></inline-formula> is, the faster the hydrograph recession is for high discharge and the more stable the recession is for low discharge (Tashie et al., 2020).</p>
      <p id="d1e2030">The parameters <inline-formula><mml:math id="M142" display="inline"><mml:mi>a</mml:mi></mml:math></inline-formula> and <inline-formula><mml:math id="M143" display="inline"><mml:mi>b</mml:mi></mml:math></inline-formula> can be determined by fitting the daily observation data of (<inline-formula><mml:math id="M144" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>Q</mml:mi><mml:mo>/</mml:mo><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>t</mml:mi><mml:mo>)</mml:mo><mml:mo>∼</mml:mo><mml:mi>Q</mml:mi></mml:mrow></mml:math></inline-formula> in a log–log diagram using linear
least squares regression. The fitted values of <inline-formula><mml:math id="M145" display="inline"><mml:mi>a</mml:mi></mml:math></inline-formula> and <inline-formula><mml:math id="M146" display="inline"><mml:mi>b</mml:mi></mml:math></inline-formula> are used to estimate <inline-formula><mml:math id="M147" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mi mathvariant="normal">d</mml:mi><mml:mi>Q</mml:mi><mml:mo>/</mml:mo><mml:mi mathvariant="normal">d</mml:mi><mml:mi>t</mml:mi></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M148" display="inline"><mml:mrow><mml:msub><mml:mi>Q</mml:mi><mml:mi mathvariant="normal">t</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> using Eqs. (<xref ref-type="disp-formula" rid="Ch1.E1"/>)
and (<xref ref-type="disp-formula" rid="Ch1.E5"/>). The accuracy of the estimated <inline-formula><mml:math id="M149" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mi mathvariant="normal">d</mml:mi><mml:mi>Q</mml:mi><mml:mo>/</mml:mo><mml:mi mathvariant="normal">d</mml:mi><mml:mi>t</mml:mi></mml:mrow></mml:math></inline-formula> values is evaluated by the root mean square logarithmic error (RMSLE) as follows (Bekele and Nicklow, 2007):
            <disp-formula id="Ch1.E6" content-type="numbered"><label>6</label><mml:math id="M150" display="block"><mml:mrow><?xmltex \hack{\hbox\bgroup\fontsize{9.5}{9.5}\selectfont$\displaystyle}?><mml:mtable rowspacing="0.2ex" class="split" displaystyle="true" columnalign="right left"><mml:mtr><mml:mtd/><mml:mtd><mml:mrow><mml:mtext>RMSLE</mml:mtext><mml:mo>=</mml:mo></mml:mrow></mml:mtd></mml:mtr><mml:mtr><mml:mtd/><mml:mtd><mml:mrow><mml:msup><mml:mfenced open="[" close="]"><mml:mrow><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mn mathvariant="normal">1</mml:mn><mml:mi>N</mml:mi></mml:mfrac></mml:mstyle><mml:munderover><mml:mo movablelimits="false">∑</mml:mo><mml:mrow><mml:mi>i</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow><mml:mi>N</mml:mi></mml:munderover><mml:mo>(</mml:mo><mml:mtext>log</mml:mtext><mml:mo>(</mml:mo><mml:mo>-</mml:mo><mml:mi mathvariant="normal">d</mml:mi><mml:msub><mml:mi>Q</mml:mi><mml:mtext>est</mml:mtext></mml:msub><mml:mo>(</mml:mo><mml:mi>i</mml:mi><mml:mo>)</mml:mo><mml:mo>/</mml:mo><mml:mi mathvariant="normal">d</mml:mi><mml:mi>t</mml:mi><mml:mo>)</mml:mo><mml:mo>-</mml:mo><mml:mtext>log</mml:mtext><mml:mo>(</mml:mo><mml:mo>-</mml:mo><mml:mi mathvariant="normal">d</mml:mi><mml:msub><mml:mi>Q</mml:mi><mml:mtext>obs</mml:mtext></mml:msub><mml:mo>(</mml:mo><mml:mi>i</mml:mi><mml:mo>)</mml:mo><mml:mo>/</mml:mo><mml:mi mathvariant="normal">d</mml:mi><mml:mi>t</mml:mi><mml:mo>)</mml:mo><mml:msup><mml:mo>)</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:mrow></mml:mfenced><mml:mrow><mml:mn mathvariant="normal">1</mml:mn><mml:mo>/</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup><mml:mo>,</mml:mo></mml:mrow></mml:mtd></mml:mtr></mml:mtable><?xmltex \hack{$\egroup}?></mml:mrow></mml:math></disp-formula>
          where <inline-formula><mml:math id="M151" display="inline"><mml:mrow><mml:msub><mml:mi>Q</mml:mi><mml:mtext>obs.</mml:mtext></mml:msub><mml:mo>(</mml:mo><mml:mi>i</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M152" display="inline"><mml:mrow><mml:msub><mml:mi>Q</mml:mi><mml:mtext>est.</mml:mtext></mml:msub><mml:mo>(</mml:mo><mml:mi>i</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> are the observed and estimated discharges, respectively. The terms <inline-formula><mml:math id="M153" display="inline"><mml:mrow><mml:mi mathvariant="normal">d</mml:mi><mml:msub><mml:mi>Q</mml:mi><mml:mtext>est</mml:mtext></mml:msub><mml:mo>(</mml:mo><mml:mi>i</mml:mi><mml:mo>)</mml:mo><mml:mo>/</mml:mo><mml:mi mathvariant="normal">d</mml:mi><mml:mi>t</mml:mi></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M154" display="inline"><mml:mrow><mml:mi mathvariant="normal">d</mml:mi><mml:msub><mml:mi>Q</mml:mi><mml:mtext>obs</mml:mtext></mml:msub><mml:mo>(</mml:mo><mml:mi>i</mml:mi><mml:mo>)</mml:mo><mml:mo>/</mml:mo><mml:mi mathvariant="normal">d</mml:mi><mml:mi>t</mml:mi></mml:mrow></mml:math></inline-formula> in Eq. (<xref ref-type="disp-formula" rid="Ch1.E6"/>) are derived from taking the derivatives of Eq. (<xref ref-type="disp-formula" rid="Ch1.E1"/>). In practice, their finite difference <inline-formula><mml:math id="M155" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>Q</mml:mi><mml:mo>/</mml:mo><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>t</mml:mi></mml:mrow></mml:math></inline-formula> is determined from the observed recession
segments <inline-formula><mml:math id="M156" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>Q</mml:mi></mml:mrow></mml:math></inline-formula> in time interval <inline-formula><mml:math id="M157" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>t</mml:mi></mml:mrow></mml:math></inline-formula>. <inline-formula><mml:math id="M158" display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula> in Eq. (<xref ref-type="disp-formula" rid="Ch1.E6"/>) is the number of data points of <inline-formula><mml:math id="M159" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mi mathvariant="normal">d</mml:mi><mml:mi>Q</mml:mi><mml:mo>/</mml:mo><mml:mi mathvariant="normal">d</mml:mi><mml:mi>t</mml:mi></mml:mrow></mml:math></inline-formula> in individual
recessions.</p>
      <p id="d1e2404">According to Dralle et al. (2017), by minimizing the following:
            <disp-formula id="Ch1.E7" content-type="numbered"><label>7</label><mml:math id="M160" display="block"><mml:mrow><mml:msub><mml:mi>E</mml:mi><mml:mtext>MAP</mml:mtext></mml:msub><mml:mo>=</mml:mo><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mn mathvariant="normal">1</mml:mn><mml:mi>N</mml:mi></mml:mfrac></mml:mstyle><mml:munderover><mml:mo movablelimits="false">∑</mml:mo><mml:mrow><mml:mi>i</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow><mml:mi>N</mml:mi></mml:munderover><mml:mfenced close="|" open="|"><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mrow><mml:msub><mml:mi>Q</mml:mi><mml:mrow><mml:mtext>obs,</mml:mtext><mml:mi>i</mml:mi></mml:mrow></mml:msub><mml:mo>-</mml:mo><mml:msub><mml:mi>Q</mml:mi><mml:mrow><mml:mtext>est</mml:mtext><mml:mo>,</mml:mo><mml:mi>i</mml:mi></mml:mrow></mml:msub></mml:mrow><mml:mrow><mml:msub><mml:mi>Q</mml:mi><mml:mrow><mml:mtext>obs,</mml:mtext><mml:mi>i</mml:mi></mml:mrow></mml:msub></mml:mrow></mml:mfrac></mml:mstyle></mml:mfenced><mml:mo>,</mml:mo></mml:mrow></mml:math></disp-formula>
          where <inline-formula><mml:math id="M161" display="inline"><mml:mrow><mml:msub><mml:mi>E</mml:mi><mml:mtext>MAP</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> is the absolute relative error between <inline-formula><mml:math id="M162" display="inline"><mml:mrow><mml:msub><mml:mi>Q</mml:mi><mml:mrow><mml:mtext>obs.</mml:mtext><mml:mi>i</mml:mi></mml:mrow></mml:msub></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M163" display="inline"><mml:mrow><mml:msub><mml:mi>Q</mml:mi><mml:mrow><mml:mtext>est.</mml:mtext><mml:mi>i</mml:mi></mml:mrow></mml:msub></mml:mrow></mml:math></inline-formula> over the recession period, a fitting in each recession hydrograph would ensure that the estimated volume of recession discharge approaches to that of the observed recession.</p>
      <p id="d1e2512">To avoid recession-scale parameter dependence, we use the method of Dralle et al. (2015) and rescale the discharge <inline-formula><mml:math id="M164" display="inline"><mml:mi>Q</mml:mi></mml:math></inline-formula> by <inline-formula><mml:math id="M165" display="inline"><mml:mrow><mml:mi>Q</mml:mi><mml:mo>=</mml:mo><mml:mi>k</mml:mi><mml:mover accent="true"><mml:mi>Q</mml:mi><mml:mo stretchy="false" mathvariant="normal">^</mml:mo></mml:mover></mml:mrow></mml:math></inline-formula>. The revised
power law for the rescaled discharge <inline-formula><mml:math id="M166" display="inline"><mml:mover accent="true"><mml:mi>Q</mml:mi><mml:mo mathvariant="normal" stretchy="false">^</mml:mo></mml:mover></mml:math></inline-formula> is as follows:
            <disp-formula id="Ch1.E8" content-type="numbered"><label>8</label><mml:math id="M167" display="block"><mml:mrow><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mrow><mml:mi mathvariant="normal">d</mml:mi><mml:mover accent="true"><mml:mi>Q</mml:mi><mml:mo stretchy="false" mathvariant="normal">^</mml:mo></mml:mover></mml:mrow><mml:mrow><mml:mi mathvariant="normal">d</mml:mi><mml:mi>t</mml:mi></mml:mrow></mml:mfrac></mml:mstyle><mml:mo>=</mml:mo><mml:mo>-</mml:mo><mml:mi>a</mml:mi><mml:msup><mml:mi>k</mml:mi><mml:mrow><mml:mi>b</mml:mi><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:msup><mml:mover accent="true"><mml:mi>Q</mml:mi><mml:mo mathvariant="normal" stretchy="false">^</mml:mo></mml:mover><mml:mi>b</mml:mi></mml:msup><mml:mo>=</mml:mo><mml:mo>-</mml:mo><mml:msup><mml:mi>a</mml:mi><mml:mo>′</mml:mo></mml:msup><mml:msup><mml:mover accent="true"><mml:mi>Q</mml:mi><mml:mo stretchy="false" mathvariant="normal">^</mml:mo></mml:mover><mml:mi>b</mml:mi></mml:msup><mml:mo>,</mml:mo></mml:mrow></mml:math></disp-formula>
          where <inline-formula><mml:math id="M168" display="inline"><mml:mi>k</mml:mi></mml:math></inline-formula> is a constant, and <inline-formula><mml:math id="M169" display="inline"><mml:mrow><mml:msup><mml:mi>a</mml:mi><mml:mo>′</mml:mo></mml:msup><mml:mo>=</mml:mo><mml:mi>a</mml:mi><mml:msup><mml:mi>k</mml:mi><mml:mrow><mml:mi>b</mml:mi><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> is a new recession parameter independent of <inline-formula><mml:math id="M170" display="inline"><mml:mi>b</mml:mi></mml:math></inline-formula>. The unit of <inline-formula><mml:math id="M171" display="inline"><mml:mrow><mml:msup><mml:mi>a</mml:mi><mml:mo>′</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula> is days (Dralle et al., 2015).</p>
      <p id="d1e2664">Furthermore, to minimize the correlation of the fitted recession exponent and log-transformed fitted recession-scale parameters for a unique value
of <inline-formula><mml:math id="M172" display="inline"><mml:mi>k</mml:mi></mml:math></inline-formula>, we use the following equation to compute the scaling factor <inline-formula><mml:math id="M173" display="inline"><mml:mi>k</mml:mi></mml:math></inline-formula>, according to Bergner and Zouhar (2000), as follows:
            <disp-formula id="Ch1.E9" content-type="numbered"><label>9</label><mml:math id="M174" display="block"><mml:mrow><mml:mi>k</mml:mi><mml:mo>=</mml:mo><mml:mtext>exp</mml:mtext><mml:mfenced open="(" close=")"><mml:mrow><mml:mo>-</mml:mo><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mrow><mml:msubsup><mml:mo>∑</mml:mo><mml:mrow><mml:mi>i</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow><mml:mi>n</mml:mi></mml:msubsup><mml:mfenced close=")" open="("><mml:mrow><mml:msub><mml:mi>b</mml:mi><mml:mi>i</mml:mi></mml:msub><mml:mo>-</mml:mo><mml:mover accent="true"><mml:mi>b</mml:mi><mml:mo mathvariant="normal">‾</mml:mo></mml:mover></mml:mrow></mml:mfenced><mml:mfenced close=")" open="("><mml:mrow><mml:mtext>log</mml:mtext><mml:mo>(</mml:mo><mml:msub><mml:mi>a</mml:mi><mml:mi>i</mml:mi></mml:msub><mml:mo>)</mml:mo><mml:mo>-</mml:mo><mml:mover accent="true"><mml:mrow><mml:mtext>log</mml:mtext><mml:mo>(</mml:mo><mml:mi>a</mml:mi><mml:mo>)</mml:mo></mml:mrow><mml:mo mathvariant="normal">‾</mml:mo></mml:mover></mml:mrow></mml:mfenced></mml:mrow><mml:mrow><mml:msubsup><mml:mo>∑</mml:mo><mml:mrow><mml:mi>i</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow><mml:mi>n</mml:mi></mml:msubsup><mml:msup><mml:mfenced open="(" close=")"><mml:mrow><mml:msub><mml:mi>b</mml:mi><mml:mi>i</mml:mi></mml:msub><mml:mo>-</mml:mo><mml:mover accent="true"><mml:mi>b</mml:mi><mml:mo mathvariant="normal">‾</mml:mo></mml:mover></mml:mrow></mml:mfenced><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:mrow></mml:mfrac></mml:mstyle></mml:mrow></mml:mfenced><mml:mo>.</mml:mo></mml:mrow></mml:math></disp-formula>
          In Eq. (<xref ref-type="disp-formula" rid="Ch1.E9"/>), <inline-formula><mml:math id="M175" display="inline"><mml:mover accent="true"><mml:mi>b</mml:mi><mml:mo mathvariant="normal">‾</mml:mo></mml:mover></mml:math></inline-formula> and <inline-formula><mml:math id="M176" display="inline"><mml:mover accent="true"><mml:mrow><mml:mtext>log</mml:mtext><mml:mo>(</mml:mo><mml:mi>a</mml:mi><mml:mo>)</mml:mo></mml:mrow><mml:mo mathvariant="normal">‾</mml:mo></mml:mover></mml:math></inline-formula> are the arithmetic mean of annually fitted recession exponents <inline-formula><mml:math id="M177" display="inline"><mml:mrow><mml:mo mathvariant="italic">{</mml:mo><mml:msub><mml:mi>b</mml:mi><mml:mn mathvariant="normal">1</mml:mn></mml:msub><mml:mo>,</mml:mo><mml:msub><mml:mi>b</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:mo>,</mml:mo><mml:mi mathvariant="normal">…</mml:mi><mml:mo>,</mml:mo><mml:msub><mml:mi>b</mml:mi><mml:mi>n</mml:mi></mml:msub><mml:mo mathvariant="italic">}</mml:mo></mml:mrow></mml:math></inline-formula> and the log-transformed fitted recession intercepts <inline-formula><mml:math id="M178" display="inline"><mml:mrow><mml:mo mathvariant="italic">{</mml:mo><mml:mtext>log</mml:mtext><mml:mo>(</mml:mo><mml:msub><mml:mi>a</mml:mi><mml:mn mathvariant="normal">1</mml:mn></mml:msub><mml:mo>)</mml:mo><mml:mo>,</mml:mo><mml:mtext>log</mml:mtext><mml:mo>(</mml:mo><mml:msub><mml:mi>a</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:mo>)</mml:mo><mml:mo>,</mml:mo><mml:mi mathvariant="normal">…</mml:mi><mml:mo>,</mml:mo><mml:mtext>log</mml:mtext><mml:mo>(</mml:mo><mml:msub><mml:mi>a</mml:mi><mml:mi>n</mml:mi></mml:msub><mml:mo>)</mml:mo><mml:mo mathvariant="italic">}</mml:mo></mml:mrow></mml:math></inline-formula>, respectively, and <inline-formula><mml:math id="M179" display="inline"><mml:mi>i</mml:mi></mml:math></inline-formula> is the number of annual values from 1980 to 2015.</p>
</sec>
<sec id="Ch1.S3.SS3">
  <label>3.3</label><title>Changes in recession characteristics under warming climate</title>
      <p id="d1e2915">In cold climate regions, recession coefficients are closely related to the thickness of the active layer in the soil profile above the permafrost layer (Bense et al., 2012; Brutsaert and Hiyama, 2012). Changes in these catchment properties depend on daily, seasonal, and annual temperature variability. For
example, the transition from unfrozen to frozen ground for temperatures varying between 0 and <inline-formula><mml:math id="M180" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.5 <inline-formula><mml:math id="M181" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup><mml:mi mathvariant="normal">C</mml:mi></mml:mrow></mml:math></inline-formula> coincides with a reduction in hydraulic conductivity of several orders of magnitude for saturated porous media (Burt and Williams, 1976). On the other hand, when the temperature rises, the thawing front in the active soil layer moves progressively downward as summer proceeds, leading to increased water storage in the active layer. If the frozen soil beneath the thawing front is ice saturated (thus relatively impermeable), the active soil layer can function as a very shallow perched aquifer that controls streamflow response to snowmelt and summer precipitation (Carey and Woo, 2005; Yamazaki et al., 2006; Wright et al., 2009; Koch et al., 2014). To include these variations in a study, recession coefficients are considered to vary, depending on the watershed state and temperatures (Tashie et al., 2019).</p>
      <p id="d1e2937">In this study, the variability in the parameters <inline-formula><mml:math id="M182" display="inline"><mml:mrow><mml:msup><mml:mi>a</mml:mi><mml:mo>′</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M183" display="inline"><mml:mi>b</mml:mi></mml:math></inline-formula> are expressed as a function of temperature (<inline-formula><mml:math id="M184" display="inline"><mml:mi>T</mml:mi></mml:math></inline-formula>), i.e., <inline-formula><mml:math id="M185" display="inline"><mml:mrow><mml:msup><mml:mi>a</mml:mi><mml:mo>′</mml:mo></mml:msup><mml:mo>(</mml:mo><mml:mi>T</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> and
<inline-formula><mml:math id="M186" display="inline"><mml:mrow><mml:mi>b</mml:mi><mml:mo>(</mml:mo><mml:mi>T</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> as follows:
            <disp-formula id="Ch1.E10" content-type="numbered"><label>10</label><mml:math id="M187" display="block"><mml:mfenced open="{" close=""><mml:mtable columnspacing="1em" class="cases" rowspacing="0.2ex" columnalign="left" framespacing="0em"><mml:mtr><mml:mtd><mml:mrow><mml:msup><mml:mi>a</mml:mi><mml:mo>′</mml:mo></mml:msup><mml:mo>(</mml:mo><mml:mi>T</mml:mi><mml:mo>)</mml:mo><mml:mo>=</mml:mo><mml:mi mathvariant="italic">α</mml:mi><mml:mo>⋅</mml:mo><mml:mi>exp⁡</mml:mi><mml:mo>(</mml:mo><mml:msub><mml:mi mathvariant="italic">α</mml:mi><mml:mn mathvariant="normal">1</mml:mn></mml:msub><mml:mi>T</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:mtd></mml:mtr><mml:mtr><mml:mtd><mml:mrow><mml:mi>b</mml:mi><mml:mfenced close=")" open="("><mml:mi>T</mml:mi></mml:mfenced><mml:mo>=</mml:mo><mml:mi mathvariant="italic">β</mml:mi><mml:mo>⋅</mml:mo><mml:mi>exp⁡</mml:mi><mml:mo>(</mml:mo><mml:msub><mml:mi mathvariant="italic">β</mml:mi><mml:mn mathvariant="normal">1</mml:mn></mml:msub><mml:mi>T</mml:mi><mml:mo>)</mml:mo><mml:mo>,</mml:mo></mml:mrow></mml:mtd></mml:mtr></mml:mtable></mml:mfenced></mml:math></disp-formula>
          where <inline-formula><mml:math id="M188" display="inline"><mml:mi mathvariant="italic">α</mml:mi></mml:math></inline-formula> and <inline-formula><mml:math id="M189" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">α</mml:mi><mml:mn mathvariant="normal">1</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> are coefficients for <inline-formula><mml:math id="M190" display="inline"><mml:mrow><mml:msup><mml:mi>a</mml:mi><mml:mo>′</mml:mo></mml:msup><mml:mo>(</mml:mo><mml:mi>T</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>, <inline-formula><mml:math id="M191" display="inline"><mml:mi mathvariant="italic">β</mml:mi></mml:math></inline-formula> and <inline-formula><mml:math id="M192" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">β</mml:mi><mml:mn mathvariant="normal">1</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> are coefficients for <inline-formula><mml:math id="M193" display="inline"><mml:mrow><mml:mi>b</mml:mi><mml:mo>(</mml:mo><mml:mi>T</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>, and <inline-formula><mml:math id="M194" display="inline"><mml:mi>T</mml:mi></mml:math></inline-formula> is the mean surface
air temperature in the recession period (<inline-formula><mml:math id="M195" display="inline"><mml:mrow><mml:msub><mml:mi>T</mml:mi><mml:mtext>re</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula>). These coefficients can be obtained by fitting the recession parameters of individual
recession events with known <inline-formula><mml:math id="M196" display="inline"><mml:mrow><mml:msub><mml:mi>T</mml:mi><mml:mtext>re</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> in each subbasin.</p>
      <p id="d1e3164">From Eq. (<xref ref-type="disp-formula" rid="Ch1.E2"/>), the temporal change in <inline-formula><mml:math id="M197" display="inline"><mml:mi>S</mml:mi></mml:math></inline-formula> (<inline-formula><mml:math id="M198" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>S</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> can be described as follows:
            <disp-formula id="Ch1.E11" content-type="numbered"><label>11</label><mml:math id="M199" display="block"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>S</mml:mi><mml:mo>=</mml:mo><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mrow><mml:mo>∂</mml:mo><mml:mi>S</mml:mi></mml:mrow><mml:mrow><mml:mo>∂</mml:mo><mml:mi>K</mml:mi></mml:mrow></mml:mfrac></mml:mstyle><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>K</mml:mi><mml:mo>+</mml:mo><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mrow><mml:mo>∂</mml:mo><mml:mi>S</mml:mi></mml:mrow><mml:mrow><mml:mo>∂</mml:mo><mml:mi>m</mml:mi></mml:mrow></mml:mfrac></mml:mstyle><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>m</mml:mi><mml:mo>+</mml:mo><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mrow><mml:mo>∂</mml:mo><mml:mi>S</mml:mi></mml:mrow><mml:mrow><mml:mo>∂</mml:mo><mml:mi>Q</mml:mi></mml:mrow></mml:mfrac></mml:mstyle><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>Q</mml:mi><mml:mo>.</mml:mo></mml:mrow></mml:math></disp-formula></p>
      <p id="d1e3254">Incorporating <inline-formula><mml:math id="M200" display="inline"><mml:mrow><mml:mi>K</mml:mi><mml:mo>=</mml:mo><mml:msup><mml:mi>k</mml:mi><mml:mrow><mml:mi>b</mml:mi><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mo>/</mml:mo><mml:mo>[</mml:mo><mml:msup><mml:mi>a</mml:mi><mml:mo>′</mml:mo></mml:msup><mml:mo>⋅</mml:mo><mml:mo>(</mml:mo><mml:mn mathvariant="normal">2</mml:mn><mml:mo>-</mml:mo><mml:mi>b</mml:mi><mml:mo>)</mml:mo><mml:mo>]</mml:mo></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M201" display="inline"><mml:mrow><mml:mi>m</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">2</mml:mn><mml:mo>-</mml:mo><mml:mi>b</mml:mi></mml:mrow></mml:math></inline-formula>, we can write <inline-formula><mml:math id="M202" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>S</mml:mi></mml:mrow></mml:math></inline-formula> as follows:
            <disp-formula id="Ch1.E12" content-type="numbered"><label>12</label><mml:math id="M203" display="block"><mml:mtable rowspacing="0.2ex" class="split" displaystyle="true" columnalign="right left"><mml:mtr><mml:mtd><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>S</mml:mi></mml:mrow></mml:mtd><mml:mtd><mml:mrow><mml:mo>=</mml:mo><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mrow><mml:mo>∂</mml:mo><mml:mi>S</mml:mi></mml:mrow><mml:mrow><mml:mo>∂</mml:mo><mml:mi>K</mml:mi></mml:mrow></mml:mfrac></mml:mstyle><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mrow><mml:mo>∂</mml:mo><mml:mi>K</mml:mi></mml:mrow><mml:mrow><mml:mo>∂</mml:mo><mml:msup><mml:mi>a</mml:mi><mml:mo>′</mml:mo></mml:msup></mml:mrow></mml:mfrac></mml:mstyle><mml:mi mathvariant="normal">Δ</mml:mi><mml:msup><mml:mi>a</mml:mi><mml:mo>′</mml:mo></mml:msup><mml:mo>+</mml:mo><mml:mfenced close=")" open="("><mml:mrow><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mrow><mml:mo>∂</mml:mo><mml:mi>S</mml:mi></mml:mrow><mml:mrow><mml:mo>∂</mml:mo><mml:mi>K</mml:mi></mml:mrow></mml:mfrac></mml:mstyle><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mrow><mml:mo>∂</mml:mo><mml:mi>K</mml:mi></mml:mrow><mml:mrow><mml:mo>∂</mml:mo><mml:mi>b</mml:mi></mml:mrow></mml:mfrac></mml:mstyle><mml:mo>+</mml:mo><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mrow><mml:mo>∂</mml:mo><mml:mi>S</mml:mi></mml:mrow><mml:mrow><mml:mo>∂</mml:mo><mml:mi>m</mml:mi></mml:mrow></mml:mfrac></mml:mstyle><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mrow><mml:mo>∂</mml:mo><mml:mi>m</mml:mi></mml:mrow><mml:mrow><mml:mo>∂</mml:mo><mml:mi>b</mml:mi></mml:mrow></mml:mfrac></mml:mstyle></mml:mrow></mml:mfenced><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>b</mml:mi></mml:mrow></mml:mtd></mml:mtr><mml:mtr><mml:mtd/><mml:mtd><mml:mrow><mml:mo>+</mml:mo><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mrow><mml:mo>∂</mml:mo><mml:mi>S</mml:mi></mml:mrow><mml:mrow><mml:mo>∂</mml:mo><mml:mi>Q</mml:mi></mml:mrow></mml:mfrac></mml:mstyle><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>Q</mml:mi></mml:mrow></mml:mtd></mml:mtr></mml:mtable></mml:math></disp-formula>
          or
            <disp-formula id="Ch1.E13" content-type="numbered"><label>13</label><mml:math id="M204" display="block"><mml:mtable class="split" rowspacing="0.2ex" displaystyle="true" columnalign="right left"><mml:mtr><mml:mtd><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>S</mml:mi><mml:mo>=</mml:mo></mml:mrow></mml:mtd><mml:mtd><mml:mrow><mml:msub><mml:mi mathvariant="italic">λ</mml:mi><mml:mrow><mml:msup><mml:mi>a</mml:mi><mml:mo>′</mml:mo></mml:msup></mml:mrow></mml:msub><mml:mi mathvariant="normal">Δ</mml:mi><mml:msup><mml:mi>a</mml:mi><mml:mo>′</mml:mo></mml:msup><mml:mo>+</mml:mo><mml:msub><mml:mi mathvariant="italic">λ</mml:mi><mml:mi>b</mml:mi></mml:msub><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>b</mml:mi></mml:mrow></mml:mtd></mml:mtr><mml:mtr><mml:mtd/><mml:mtd><mml:mrow><mml:mo>+</mml:mo><mml:msub><mml:mi mathvariant="italic">λ</mml:mi><mml:mi>Q</mml:mi></mml:msub><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>Q</mml:mi><mml:mo>,</mml:mo></mml:mrow></mml:mtd></mml:mtr></mml:mtable></mml:math></disp-formula>
          where <inline-formula><mml:math id="M205" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">λ</mml:mi><mml:mrow><mml:msup><mml:mi>a</mml:mi><mml:mo>′</mml:mo></mml:msup></mml:mrow></mml:msub></mml:mrow></mml:math></inline-formula>, <inline-formula><mml:math id="M206" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">λ</mml:mi><mml:mi>b</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>, and <inline-formula><mml:math id="M207" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">λ</mml:mi><mml:mi>Q</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> are the sensitivity coefficients of <inline-formula><mml:math id="M208" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>S</mml:mi></mml:mrow></mml:math></inline-formula> to <inline-formula><mml:math id="M209" display="inline"><mml:mrow><mml:msup><mml:mi>a</mml:mi><mml:mo>′</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula>, <inline-formula><mml:math id="M210" display="inline"><mml:mi>b</mml:mi></mml:math></inline-formula>, and <inline-formula><mml:math id="M211" display="inline"><mml:mi>Q</mml:mi></mml:math></inline-formula>,
respectively, and can be derived as
            <disp-formula id="Ch1.E14" content-type="numbered"><label>14</label><mml:math id="M212" display="block"><mml:mrow><?xmltex \hack{\hbox\bgroup\fontsize{9.5}{9.5}\selectfont$\displaystyle}?><mml:mfenced open="{" close=""><mml:mtable columnspacing="1em" rowspacing="0.2ex" class="cases" columnalign="left" framespacing="0em"><mml:mtr><mml:mtd><mml:mrow><mml:msub><mml:mi mathvariant="italic">λ</mml:mi><mml:mrow><mml:msup><mml:mi>a</mml:mi><mml:mo>′</mml:mo></mml:msup></mml:mrow></mml:msub><mml:mo>=</mml:mo><mml:mstyle displaystyle="false"><mml:mstyle displaystyle="false"><mml:mfrac style="text"><mml:mrow><mml:mo>∂</mml:mo><mml:mi>S</mml:mi></mml:mrow><mml:mrow><mml:mo>∂</mml:mo><mml:mi>K</mml:mi></mml:mrow></mml:mfrac></mml:mstyle></mml:mstyle><mml:mstyle displaystyle="false"><mml:mstyle displaystyle="false"><mml:mfrac style="text"><mml:mrow><mml:mo>∂</mml:mo><mml:mi>K</mml:mi></mml:mrow><mml:mrow><mml:mo>∂</mml:mo><mml:msup><mml:mi>a</mml:mi><mml:mo>′</mml:mo></mml:msup></mml:mrow></mml:mfrac></mml:mstyle></mml:mstyle><mml:mo>=</mml:mo><mml:mstyle displaystyle="false"><mml:mstyle displaystyle="false"><mml:mfrac style="text"><mml:mrow><mml:mo>-</mml:mo><mml:msup><mml:mi>k</mml:mi><mml:mrow><mml:mi>b</mml:mi><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow><mml:mrow><mml:msup><mml:msup><mml:mi>a</mml:mi><mml:mo>′</mml:mo></mml:msup><mml:mn mathvariant="normal">2</mml:mn></mml:msup><mml:mo>(</mml:mo><mml:mn mathvariant="normal">2</mml:mn><mml:mo>-</mml:mo><mml:mi>b</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:mfrac></mml:mstyle></mml:mstyle><mml:msup><mml:mi>Q</mml:mi><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>-</mml:mo><mml:mi>b</mml:mi></mml:mrow></mml:msup></mml:mrow></mml:mtd></mml:mtr><mml:mtr><mml:mtd><mml:mrow><mml:msub><mml:mi mathvariant="italic">λ</mml:mi><mml:mi>b</mml:mi></mml:msub><mml:mo>=</mml:mo><mml:mstyle displaystyle="false"><mml:mstyle displaystyle="false"><mml:mfrac style="text"><mml:mrow><mml:mo>∂</mml:mo><mml:mi>S</mml:mi></mml:mrow><mml:mrow><mml:mo>∂</mml:mo><mml:mi>K</mml:mi></mml:mrow></mml:mfrac></mml:mstyle></mml:mstyle><mml:mstyle displaystyle="false"><mml:mstyle displaystyle="false"><mml:mfrac style="text"><mml:mrow><mml:mo>∂</mml:mo><mml:mi>K</mml:mi></mml:mrow><mml:mrow><mml:mo>∂</mml:mo><mml:mi>b</mml:mi></mml:mrow></mml:mfrac></mml:mstyle></mml:mstyle><mml:mo>+</mml:mo><mml:mstyle displaystyle="false"><mml:mstyle displaystyle="false"><mml:mfrac style="text"><mml:mrow><mml:mo>∂</mml:mo><mml:mi>S</mml:mi></mml:mrow><mml:mrow><mml:mo>∂</mml:mo><mml:mi>m</mml:mi></mml:mrow></mml:mfrac></mml:mstyle></mml:mstyle><mml:mstyle displaystyle="false"><mml:mstyle displaystyle="false"><mml:mfrac style="text"><mml:mrow><mml:mo>∂</mml:mo><mml:mi>m</mml:mi></mml:mrow><mml:mrow><mml:mo>∂</mml:mo><mml:mi>b</mml:mi></mml:mrow></mml:mfrac></mml:mstyle></mml:mstyle><mml:mo>=</mml:mo><mml:mstyle displaystyle="false"><mml:mstyle displaystyle="false"><mml:mfrac style="text"><mml:mrow><mml:msup><mml:mi>k</mml:mi><mml:mrow><mml:mi>b</mml:mi><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow><mml:mrow><mml:msup><mml:mi>a</mml:mi><mml:mo>′</mml:mo></mml:msup><mml:mo>(</mml:mo><mml:mn mathvariant="normal">2</mml:mn><mml:mo>-</mml:mo><mml:mi>b</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:mfrac></mml:mstyle></mml:mstyle><mml:msup><mml:mi>Q</mml:mi><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>-</mml:mo><mml:mi>b</mml:mi></mml:mrow></mml:msup><mml:mfenced close=")" open="("><mml:mrow><mml:mstyle displaystyle="false"><mml:mstyle displaystyle="false"><mml:mfrac style="text"><mml:mn mathvariant="normal">1</mml:mn><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>-</mml:mo><mml:mi>b</mml:mi></mml:mrow></mml:mfrac></mml:mstyle></mml:mstyle><mml:mo>-</mml:mo><mml:mi>ln⁡</mml:mi><mml:mi>Q</mml:mi></mml:mrow></mml:mfenced></mml:mrow></mml:mtd></mml:mtr><mml:mtr><mml:mtd><mml:mrow><mml:msub><mml:mi mathvariant="italic">λ</mml:mi><mml:mi>Q</mml:mi></mml:msub><mml:mo>=</mml:mo><mml:mstyle displaystyle="false"><mml:mstyle displaystyle="false"><mml:mfrac style="text"><mml:mrow><mml:mo>∂</mml:mo><mml:mi>S</mml:mi></mml:mrow><mml:mrow><mml:mo>∂</mml:mo><mml:mi>Q</mml:mi></mml:mrow></mml:mfrac></mml:mstyle></mml:mstyle><mml:mo>=</mml:mo><mml:mstyle displaystyle="false"><mml:mstyle displaystyle="false"><mml:mfrac style="text"><mml:mrow><mml:msup><mml:mi>k</mml:mi><mml:mrow><mml:mi>b</mml:mi><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow><mml:mrow><mml:msup><mml:mi>a</mml:mi><mml:mo>′</mml:mo></mml:msup><mml:msup><mml:mi>Q</mml:mi><mml:mrow><mml:mi>b</mml:mi><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:mfrac></mml:mstyle></mml:mstyle><mml:mo>=</mml:mo><mml:mi mathvariant="italic">τ</mml:mi></mml:mrow></mml:mtd></mml:mtr></mml:mtable></mml:mfenced><mml:mo>.</mml:mo><?xmltex \hack{$\egroup}?></mml:mrow></mml:math></disp-formula></p>
      <p id="d1e3880">Because the recession parameters <inline-formula><mml:math id="M213" display="inline"><mml:mrow><mml:msup><mml:mi>a</mml:mi><mml:mo>′</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M214" display="inline"><mml:mi>b</mml:mi></mml:math></inline-formula> are functions of <inline-formula><mml:math id="M215" display="inline"><mml:mi>T</mml:mi></mml:math></inline-formula> in Eq. (<xref ref-type="disp-formula" rid="Ch1.E8"/>), <inline-formula><mml:math id="M216" display="inline"><mml:mi>S</mml:mi></mml:math></inline-formula> is a function of <inline-formula><mml:math id="M217" display="inline"><mml:mi>T</mml:mi></mml:math></inline-formula> and <inline-formula><mml:math id="M218" display="inline"><mml:mi>Q</mml:mi></mml:math></inline-formula>. The change in <inline-formula><mml:math id="M219" display="inline"><mml:mi>S</mml:mi></mml:math></inline-formula>
(<inline-formula><mml:math id="M220" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>S</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> can therefore be expressed as follows:
            <disp-formula id="Ch1.E15" content-type="numbered"><label>15</label><mml:math id="M221" display="block"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>S</mml:mi><mml:mo>(</mml:mo><mml:mi>T</mml:mi><mml:mo>)</mml:mo><mml:mo>=</mml:mo><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mrow><mml:mo>∂</mml:mo><mml:mi>S</mml:mi></mml:mrow><mml:mrow><mml:mo>∂</mml:mo><mml:mi>T</mml:mi></mml:mrow></mml:mfrac></mml:mstyle><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>T</mml:mi><mml:mo>+</mml:mo><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mrow><mml:mo>∂</mml:mo><mml:mi>S</mml:mi></mml:mrow><mml:mrow><mml:mo>∂</mml:mo><mml:mi>Q</mml:mi></mml:mrow></mml:mfrac></mml:mstyle><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>Q</mml:mi></mml:mrow></mml:math></disp-formula>
          or
            <disp-formula id="Ch1.E16" content-type="numbered"><label>16</label><mml:math id="M222" display="block"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>S</mml:mi><mml:mo>(</mml:mo><mml:mi>T</mml:mi><mml:mo>)</mml:mo><mml:mo>=</mml:mo><mml:msub><mml:mi mathvariant="italic">λ</mml:mi><mml:mi>T</mml:mi></mml:msub><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>T</mml:mi><mml:mo>+</mml:mo><mml:msub><mml:mi mathvariant="italic">λ</mml:mi><mml:mi>Q</mml:mi></mml:msub><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>Q</mml:mi><mml:mo>,</mml:mo></mml:mrow></mml:math></disp-formula>
          where <inline-formula><mml:math id="M223" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">λ</mml:mi><mml:mi>T</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> is the sensitivity coefficient of <inline-formula><mml:math id="M224" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>S</mml:mi></mml:mrow></mml:math></inline-formula> to <inline-formula><mml:math id="M225" display="inline"><mml:mi>T</mml:mi></mml:math></inline-formula>. <inline-formula><mml:math id="M226" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">λ</mml:mi><mml:mi>T</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> can be derived as follows:
            <disp-formula id="Ch1.E17" content-type="numbered"><label>17</label><mml:math id="M227" display="block"><mml:mtable rowspacing="0.2ex" class="split" displaystyle="true" columnalign="right left"><mml:mtr><mml:mtd><mml:mrow><mml:msub><mml:mi mathvariant="italic">λ</mml:mi><mml:mi>T</mml:mi></mml:msub></mml:mrow></mml:mtd><mml:mtd><mml:mrow><mml:mo>=</mml:mo><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mrow><mml:mo>∂</mml:mo><mml:mi>S</mml:mi></mml:mrow><mml:mrow><mml:mo>∂</mml:mo><mml:mi>T</mml:mi></mml:mrow></mml:mfrac></mml:mstyle><mml:mo>=</mml:mo><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mrow><mml:msup><mml:mi>k</mml:mi><mml:mrow><mml:mi>b</mml:mi><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow><mml:mrow><mml:msup><mml:mi>a</mml:mi><mml:mo>′</mml:mo></mml:msup><mml:mo>(</mml:mo><mml:mn mathvariant="normal">2</mml:mn><mml:mo>-</mml:mo><mml:mi>b</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:mfrac></mml:mstyle><mml:msup><mml:mi>Q</mml:mi><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>-</mml:mo><mml:mi>b</mml:mi></mml:mrow></mml:msup></mml:mrow></mml:mtd></mml:mtr><mml:mtr><mml:mtd/><mml:mtd><mml:mrow><mml:mo>×</mml:mo><mml:mfenced open="(" close=")"><mml:mrow><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mrow><mml:mi>b</mml:mi><mml:mo>(</mml:mo><mml:msub><mml:mi mathvariant="italic">β</mml:mi><mml:mn mathvariant="normal">1</mml:mn></mml:msub><mml:mo>+</mml:mo><mml:msub><mml:mi mathvariant="italic">α</mml:mi><mml:mn mathvariant="normal">1</mml:mn></mml:msub><mml:mo>)</mml:mo><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn><mml:msub><mml:mi mathvariant="italic">α</mml:mi><mml:mn mathvariant="normal">1</mml:mn></mml:msub></mml:mrow><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>-</mml:mo><mml:mi>b</mml:mi></mml:mrow></mml:mfrac></mml:mstyle><mml:mo>-</mml:mo><mml:mi>b</mml:mi><mml:msub><mml:mi mathvariant="italic">β</mml:mi><mml:mn mathvariant="normal">1</mml:mn></mml:msub><mml:mi>ln⁡</mml:mi><mml:mi>Q</mml:mi></mml:mrow></mml:mfenced><mml:mo>.</mml:mo></mml:mrow></mml:mtd></mml:mtr></mml:mtable></mml:math></disp-formula></p>

      <?xmltex \floatpos{p}?><fig id="Ch1.F2" specific-use="star"><?xmltex \currentcnt{2}?><?xmltex \def\figurename{Figure}?><label>Figure 2</label><caption><p id="d1e4217">Variations in <bold>(a)</bold> annul mean temperature (<inline-formula><mml:math id="M228" display="inline"><mml:mi>T</mml:mi></mml:math></inline-formula>), <bold>(b)</bold> mean temperature in a recession period (<inline-formula><mml:math id="M229" display="inline"><mml:mrow><mml:msub><mml:mi>T</mml:mi><mml:mtext>re</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula>), <bold>(c)</bold> precipitation (<inline-formula><mml:math id="M230" display="inline"><mml:mi>P</mml:mi></mml:math></inline-formula>), <bold>(d)</bold> discharge (<inline-formula><mml:math id="M231" display="inline"><mml:mi>Q</mml:mi></mml:math></inline-formula>), <bold>(e)</bold> discharge in a recession period (<inline-formula><mml:math id="M232" display="inline"><mml:mrow><mml:msub><mml:mi>Q</mml:mi><mml:mtext>re</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula>), <bold>(f)</bold> glacier meltwater (<inline-formula><mml:math id="M233" display="inline"><mml:mi>G</mml:mi></mml:math></inline-formula>), <bold>(g)</bold> NDVI, <bold>(h)</bold> active layer thickness (ALT), <bold>(i)</bold> percentage of permafrost area (PPA), <bold>(j)</bold> the total number of days with the mean temperature above 0 <inline-formula><mml:math id="M234" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup><mml:mi mathvariant="normal">C</mml:mi></mml:mrow></mml:math></inline-formula> in a year (<inline-formula><mml:math id="M235" display="inline"><mml:mrow><mml:msub><mml:mtext>MTD</mml:mtext><mml:mi mathvariant="normal">a</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>), and <bold>(k)</bold> the total number of days with the mean temperature above 0 <inline-formula><mml:math id="M236" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup><mml:mi mathvariant="normal">C</mml:mi></mml:mrow></mml:math></inline-formula> for recession period (<inline-formula><mml:math id="M237" display="inline"><mml:mrow><mml:msub><mml:mtext>MTD</mml:mtext><mml:mtext>re</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula>) from 1980 to 2015 in the five subbasins. The subscripts 1 and 2 refer to the early period from 1980 to 1996 and the recent period from 1997 to 2015, respectively. NGS–YC refers to the area between the nested subbasins NGS and YC, and YC–NX is for the area of the nested subbasins YC and NX.</p></caption>
          <?xmltex \igopts{width=426.791339pt}?><graphic xlink:href="https://hess.copernicus.org/articles/26/3901/2022/hess-26-3901-2022-f02.png"/>

        </fig>

</sec>
</sec>
<sec id="Ch1.S4">
  <label>4</label><title>Results</title>
<sec id="Ch1.S4.SS1">
  <label>4.1</label><title>Spatial and temporal variations in climate and hydrological variables</title>
<sec id="Ch1.S4.SS1.SSS1">
  <label>4.1.1</label><title>Spatial variations</title>
      <p id="d1e4381">The mean values of the observed climate and hydrological variables during 1980–2015 in the subbasins have shown that the region's climate has become
warmer and wetter (Fig. 2a–2c and Table 2). The wet trend is largest in the YBJ and LS subbasins. We note that the mean temperature of YBJ is lowest
among the subbasins because most of its area is at higher altitudes. It has the largest fractional glacier coverage area of about 10 %. The
percentage of glacier area in the other subbasins is 1.63 %, 1.52 %, 1.92 %, and 0.75 % in NGS, YC, NX, and LS subbasins,
respectively. The percentage of permafrost area (PPA) ranges from 41.8 % to 47.7 % in the five subbasins.</p>
      <p id="d1e4384">The mean annual streamflow (<inline-formula><mml:math id="M238" display="inline"><mml:mi>Q</mml:mi></mml:math></inline-formula>) and streamflow in the recession period (<inline-formula><mml:math id="M239" display="inline"><mml:mrow><mml:msub><mml:mi>Q</mml:mi><mml:mtext>re</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula>) (both in units of mm) increased (Fig. 2d and e), resulting in higher runoff coefficient Rc <inline-formula><mml:math id="M240" display="inline"><mml:mrow><mml:mo>(</mml:mo><mml:mi>R</mml:mi><mml:mo>/</mml:mo><mml:mi>P</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> towards the wetter downstream of the main stem of the YRB. However, the wettest subbasins of YBJ and LS do not have the greatest discharge and high Rc, possibly because of the icy environment. The daily coefficient of variation (CV) in streamflow is higher in YBJ and LS and upstream of NGS. CV decreases towards the wetter downstream of YRB, partially because of strengthened watershed regulation as the subbasin areas increase, and the dams are included in the area of the analysis.</p>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T2" specific-use="star"><?xmltex \currentcnt{2}?><label>Table 2</label><caption><p id="d1e4424">Summary of subbasin characteristics in the YR basin.</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="6">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="right"/>
     <oasis:colspec colnum="3" colname="col3" align="right"/>
     <oasis:colspec colnum="4" colname="col4" align="right"/>
     <oasis:colspec colnum="5" colname="col5" align="right"/>
     <oasis:colspec colnum="6" colname="col6" align="right"/>
     <oasis:thead>
       <oasis:row>
         <oasis:entry colname="col1"/>
         <oasis:entry rowsep="1" namest="col2" nameend="col6" align="center">Regions </oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2">NGS</oasis:entry>
         <oasis:entry colname="col3">YC</oasis:entry>
         <oasis:entry colname="col4">NX</oasis:entry>
         <oasis:entry colname="col5">YBJ</oasis:entry>
         <oasis:entry colname="col6">LS</oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>
         <oasis:entry colname="col1">Drainage area (10<inline-formula><mml:math id="M244" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msup></mml:math></inline-formula> <inline-formula><mml:math id="M245" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi mathvariant="normal">km</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>)</oasis:entry>
         <oasis:entry colname="col2">10.86</oasis:entry>
         <oasis:entry colname="col3">16.51</oasis:entry>
         <oasis:entry colname="col4">20.32</oasis:entry>
         <oasis:entry colname="col5">0.31</oasis:entry>
         <oasis:entry colname="col6">3.06</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Mean elevation (<inline-formula><mml:math id="M246" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">m</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mi mathvariant="normal">a</mml:mi><mml:mo>.</mml:mo><mml:mi mathvariant="normal">s</mml:mi><mml:mo>.</mml:mo><mml:mi mathvariant="normal">l</mml:mi><mml:mo>.</mml:mo></mml:mrow></mml:math></inline-formula>)</oasis:entry>
         <oasis:entry colname="col2">3776</oasis:entry>
         <oasis:entry colname="col3">3553</oasis:entry>
         <oasis:entry colname="col4">2944</oasis:entry>
         <oasis:entry colname="col5">4255</oasis:entry>
         <oasis:entry colname="col6">3794</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Glacier area (km<inline-formula><mml:math id="M247" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:math></inline-formula> yr<inline-formula><mml:math id="M248" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>)</oasis:entry>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3"/>
         <oasis:entry colname="col4"/>
         <oasis:entry colname="col5"/>
         <oasis:entry colname="col6"/>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">1976</oasis:entry>
         <oasis:entry colname="col2">2070</oasis:entry>
         <oasis:entry colname="col3">2902</oasis:entry>
         <oasis:entry colname="col4">4285</oasis:entry>
         <oasis:entry colname="col5">241</oasis:entry>
         <oasis:entry colname="col6">283</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">2001</oasis:entry>
         <oasis:entry colname="col2">1822</oasis:entry>
         <oasis:entry colname="col3">2562</oasis:entry>
         <oasis:entry colname="col4">3821</oasis:entry>
         <oasis:entry colname="col5">227</oasis:entry>
         <oasis:entry colname="col6">257</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">2009<inline-formula><mml:math id="M249" display="inline"><mml:msup><mml:mi/><mml:mo>∗</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col2">1674</oasis:entry>
         <oasis:entry colname="col3">2355</oasis:entry>
         <oasis:entry colname="col4">3782</oasis:entry>
         <oasis:entry colname="col5">224</oasis:entry>
         <oasis:entry colname="col6">255</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">2013</oasis:entry>
         <oasis:entry colname="col2">1489</oasis:entry>
         <oasis:entry colname="col3">2217</oasis:entry>
         <oasis:entry colname="col4">3709</oasis:entry>
         <oasis:entry colname="col5">220</oasis:entry>
         <oasis:entry colname="col6">247</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Percentage of permafrost area (%, 2003)</oasis:entry>
         <oasis:entry colname="col2">47.7</oasis:entry>
         <oasis:entry colname="col3">44.1</oasis:entry>
         <oasis:entry colname="col4">41.8</oasis:entry>
         <oasis:entry colname="col5">44.9</oasis:entry>
         <oasis:entry colname="col6">44.5</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Mean annual value</oasis:entry>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3"/>
         <oasis:entry colname="col4"/>
         <oasis:entry colname="col5"/>
         <oasis:entry colname="col6"/>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"><inline-formula><mml:math id="M250" display="inline"><mml:mi>P</mml:mi></mml:math></inline-formula> (<inline-formula><mml:math id="M251" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">mm</mml:mi></mml:mrow></mml:math></inline-formula>)</oasis:entry>
         <oasis:entry colname="col2">354</oasis:entry>
         <oasis:entry colname="col3">386</oasis:entry>
         <oasis:entry colname="col4">426</oasis:entry>
         <oasis:entry colname="col5">433</oasis:entry>
         <oasis:entry colname="col6">536</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"><inline-formula><mml:math id="M252" display="inline"><mml:mi>T</mml:mi></mml:math></inline-formula> (<inline-formula><mml:math id="M253" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup><mml:mi mathvariant="normal">C</mml:mi></mml:mrow></mml:math></inline-formula>)</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M254" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>1.51</oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M255" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>1.16</oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M256" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.99</oasis:entry>
         <oasis:entry colname="col5"><inline-formula><mml:math id="M257" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>2.15</oasis:entry>
         <oasis:entry colname="col6"><inline-formula><mml:math id="M258" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>1.91</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"><inline-formula><mml:math id="M259" display="inline"><mml:mrow><mml:msub><mml:mi>T</mml:mi><mml:mtext>re</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> (<inline-formula><mml:math id="M260" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup><mml:mi mathvariant="normal">C</mml:mi></mml:mrow></mml:math></inline-formula>)</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M261" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>6.23</oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M262" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>5.95</oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M263" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>5.73</oasis:entry>
         <oasis:entry colname="col5"><inline-formula><mml:math id="M264" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>8.37</oasis:entry>
         <oasis:entry colname="col6"><inline-formula><mml:math id="M265" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>6.83</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"><inline-formula><mml:math id="M266" display="inline"><mml:mi>Q</mml:mi></mml:math></inline-formula> (<inline-formula><mml:math id="M267" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">mm</mml:mi></mml:mrow></mml:math></inline-formula>)</oasis:entry>
         <oasis:entry colname="col2">144</oasis:entry>
         <oasis:entry colname="col3">180</oasis:entry>
         <oasis:entry colname="col4">290</oasis:entry>
         <oasis:entry colname="col5">240</oasis:entry>
         <oasis:entry colname="col6">302</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"><inline-formula><mml:math id="M268" display="inline"><mml:mrow><mml:msub><mml:mi>Q</mml:mi><mml:mtext>re</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> (<inline-formula><mml:math id="M269" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">mm</mml:mi></mml:mrow></mml:math></inline-formula>)</oasis:entry>
         <oasis:entry colname="col2">26.5</oasis:entry>
         <oasis:entry colname="col3">34.0</oasis:entry>
         <oasis:entry colname="col4">52.3</oasis:entry>
         <oasis:entry colname="col5">31.5</oasis:entry>
         <oasis:entry colname="col6">47.9</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Rc (<inline-formula><mml:math id="M270" display="inline"><mml:mrow><mml:mi>R</mml:mi><mml:mo>/</mml:mo><mml:mi>P</mml:mi></mml:mrow></mml:math></inline-formula>)</oasis:entry>
         <oasis:entry colname="col2">0.410</oasis:entry>
         <oasis:entry colname="col3">0.460</oasis:entry>
         <oasis:entry colname="col4">0.680</oasis:entry>
         <oasis:entry colname="col5">0.555</oasis:entry>
         <oasis:entry colname="col6">0.563</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"><inline-formula><mml:math id="M271" display="inline"><mml:mrow><mml:msub><mml:mtext>CV</mml:mtext><mml:mn mathvariant="normal">1</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col2">1.099</oasis:entry>
         <oasis:entry colname="col3">1.061</oasis:entry>
         <oasis:entry colname="col4">0.931</oasis:entry>
         <oasis:entry colname="col5">1.138</oasis:entry>
         <oasis:entry colname="col6">1.123</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"><inline-formula><mml:math id="M272" display="inline"><mml:mrow><mml:msub><mml:mtext>CV</mml:mtext><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col2">1.155</oasis:entry>
         <oasis:entry colname="col3">1.070</oasis:entry>
         <oasis:entry colname="col4">0.970</oasis:entry>
         <oasis:entry colname="col5">1.106</oasis:entry>
         <oasis:entry colname="col6">1.203</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table><table-wrap-foot><p id="d1e4427"><inline-formula><mml:math id="M241" display="inline"><mml:msup><mml:mi/><mml:mo>∗</mml:mo></mml:msup></mml:math></inline-formula> Glacier area is from China's second glacier catalogue data in 2009. The mean of <inline-formula><mml:math id="M242" display="inline"><mml:mrow><mml:msub><mml:mi>A</mml:mi><mml:mtext>ice</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> in the years 1976 and 2001 is used as a reference value in the subperiod before 1997, and the mean of <inline-formula><mml:math id="M243" display="inline"><mml:mrow><mml:msub><mml:mi>A</mml:mi><mml:mtext>ice</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> in 2001, 2009, and 2013 is used as a reference value in the subperiod after 1997. The subscripts 1, and 2 represent 1980–1996 and 1997–2015, respectively.</p></table-wrap-foot></table-wrap>

<?xmltex \hack{\newpage}?>
</sec>
<sec id="Ch1.S4.SS1.SSS2">
  <label>4.1.2</label><title>Annual variations in climate and hydrological variables during 1980–2015</title>
      <p id="d1e5135">Figure 2a–f show variations in the observed climate and hydrological variables from 1980 to 2015. Tested by TFPW-MK, annual mean temperature (<inline-formula><mml:math id="M273" display="inline"><mml:mi>T</mml:mi></mml:math></inline-formula>) and temperature in the recession period (<inline-formula><mml:math id="M274" display="inline"><mml:mrow><mml:msub><mml:mi>T</mml:mi><mml:mtext>re</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula>) rose significantly (<inline-formula><mml:math id="M275" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M276" display="inline"><mml:mo>&lt;</mml:mo></mml:math></inline-formula> 0.05) in all subbasins of the YRB (Fig. 2a and b). Annual <inline-formula><mml:math id="M277" display="inline"><mml:mi>T</mml:mi></mml:math></inline-formula> rose at a rate of 0.045–0.075 <inline-formula><mml:math id="M278" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup><mml:mi mathvariant="normal">C</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">a</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> for the five subbasins, which is smaller than the rate of 0.070–0.097 <inline-formula><mml:math id="M279" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup><mml:mi mathvariant="normal">C</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">a</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> for annual <inline-formula><mml:math id="M280" display="inline"><mml:mrow><mml:msub><mml:mi>T</mml:mi><mml:mtext>re</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula>. Annual precipitation (<inline-formula><mml:math id="M281" display="inline"><mml:mi>P</mml:mi></mml:math></inline-formula>) also increased, and was significant (<inline-formula><mml:math id="M282" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M283" display="inline"><mml:mo>&lt;</mml:mo></mml:math></inline-formula> 0.1), in the subbasins of YC, NX, and LS, but insignificant in NGS and YBJ (Fig. 2c). Annual glacier meltwater <inline-formula><mml:math id="M284" display="inline"><mml:mi>G</mml:mi></mml:math></inline-formula> and the total number of days with the mean temperature above 0 <inline-formula><mml:math id="M285" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup><mml:mi mathvariant="normal">C</mml:mi></mml:mrow></mml:math></inline-formula> in a year (<inline-formula><mml:math id="M286" display="inline"><mml:mrow><mml:msub><mml:mtext>MTD</mml:mtext><mml:mi mathvariant="normal">a</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>) increased significantly in all subbasins (Fig. 2f and j). Meanwhile, the total number of days with the mean temperature above 0 <inline-formula><mml:math id="M287" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup><mml:mi mathvariant="normal">C</mml:mi></mml:mrow></mml:math></inline-formula> in the recession period (<inline-formula><mml:math id="M288" display="inline"><mml:mrow><mml:msub><mml:mtext>MTD</mml:mtext><mml:mtext>re</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula>) also increased, and it was significant in the main stream of the YRB (e.g., NGS, YC, and NX) and insignificant in the two subbasins of YBJ and LS (Fig. 2k). The rate of <inline-formula><mml:math id="M289" display="inline"><mml:mi>G</mml:mi></mml:math></inline-formula> increase is from 0.46 <inline-formula><mml:math id="M290" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">mm</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">a</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> in LS to 2.86 <inline-formula><mml:math id="M291" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">mm</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">a</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> in YBJ. The rate of increase in annual <inline-formula><mml:math id="M292" display="inline"><mml:mrow><mml:msub><mml:mtext>MTD</mml:mtext><mml:mi mathvariant="normal">a</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M293" display="inline"><mml:mrow><mml:msub><mml:mtext>MTD</mml:mtext><mml:mtext>re</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> is 0.48–0.82 and 0.12–0.32 <inline-formula><mml:math id="M294" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">d</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">a</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>, respectively, in the five subbasins. Under the warmer and wetter climate, the vegetation coverage tended to increase. The NDVI increased at a rate of 5.1<inline-formula><mml:math id="M295" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">4</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>–8.03<inline-formula><mml:math id="M296" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">4</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> <inline-formula><mml:math id="M297" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi mathvariant="normal">a</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> during 1980–2015 in the four subbasins YC, NX, NGS, and YBJ but decreased at a rate of <inline-formula><mml:math id="M298" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>1.03<inline-formula><mml:math id="M299" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">4</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> <inline-formula><mml:math id="M300" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi mathvariant="normal">a</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> in LS (Fig. 2g).</p>
      <p id="d1e5459"><?xmltex \hack{\newpage}?>Over the same period, the annual mean discharge <inline-formula><mml:math id="M301" display="inline"><mml:mi>Q</mml:mi></mml:math></inline-formula> and the mean discharge in the recession period <inline-formula><mml:math id="M302" display="inline"><mml:mrow><mml:msub><mml:mi>Q</mml:mi><mml:mtext>re</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> increased significantly, except for
<inline-formula><mml:math id="M303" display="inline"><mml:mrow><mml:msub><mml:mi>Q</mml:mi><mml:mtext>re</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> in the LS subbasin (Fig. 2d an e). The <inline-formula><mml:math id="M304" display="inline"><mml:mi>Q</mml:mi></mml:math></inline-formula> increased at a rate of 1.16–1.68 <inline-formula><mml:math id="M305" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">mm</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">a</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>, which is higher than the rate of
0.22–0.47 <inline-formula><mml:math id="M306" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">mm</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">a</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> for <inline-formula><mml:math id="M307" display="inline"><mml:mrow><mml:msub><mml:mi>Q</mml:mi><mml:mtext>re</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula>. In contrast, <inline-formula><mml:math id="M308" display="inline"><mml:mrow><mml:msub><mml:mi>Q</mml:mi><mml:mtext>re</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> in LS decreased insignificantly (Fig. 2d), possibly because of initial water storage when the ZK reservoir (Fig. 1a) began operating in around 2007.</p>
      <p id="d1e5556">In Wang et al. (2021), a point of dramatic change was detected around 1997 by the Pettitt test for <inline-formula><mml:math id="M309" display="inline"><mml:mi>T</mml:mi></mml:math></inline-formula>, <inline-formula><mml:math id="M310" display="inline"><mml:mi>G</mml:mi></mml:math></inline-formula>, and <inline-formula><mml:math id="M311" display="inline"><mml:mi>Q</mml:mi></mml:math></inline-formula> and around 1995 for annual <inline-formula><mml:math id="M312" display="inline"><mml:mi>P</mml:mi></mml:math></inline-formula>
in the subbasins of NGS, YC, and NX. In this study, the same point of change in 1997 was detected in the annual series of <inline-formula><mml:math id="M313" display="inline"><mml:mrow><mml:msub><mml:mi>T</mml:mi><mml:mtext>re</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula>
and <inline-formula><mml:math id="M314" display="inline"><mml:mrow><mml:msub><mml:mi>Q</mml:mi><mml:mtext>re</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> in the NGS, YC, and NX subbasins and in the annual series of <inline-formula><mml:math id="M315" display="inline"><mml:mi>T</mml:mi></mml:math></inline-formula>, <inline-formula><mml:math id="M316" display="inline"><mml:mi>G</mml:mi></mml:math></inline-formula>, and <inline-formula><mml:math id="M317" display="inline"><mml:mi>Q</mml:mi></mml:math></inline-formula> in the YBJ and LS subbasins. The annual time series of <inline-formula><mml:math id="M318" display="inline"><mml:mi>Q</mml:mi></mml:math></inline-formula> in LS was detected to have two additional points of change in 1995 and 2005, which is possibly attributable to the increased impact of human (reservoir operation) activities (Cai et al., 2021). The point of change in 1997 has also been identified by the dramatic changes in surface conditions, i.e., the reversed NDVI trend (Fig. 2g), increased ALT (Fig. 2h), and accelerated thawing of permafrost after 1997 (Fig. 2i). Accordingly, we separate the study years from 1980–2015 into two periods, i.e., the early period from 1980 to 1996 and the recent period from 1997 to 2015.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F3" specific-use="star"><?xmltex \currentcnt{3}?><?xmltex \def\figurename{Figure}?><label>Figure 3</label><caption><p id="d1e5641"><bold>(a–e)</bold> <inline-formula><mml:math id="M319" display="inline"><mml:mi>P</mml:mi></mml:math></inline-formula>, <inline-formula><mml:math id="M320" display="inline"><mml:mi>T</mml:mi></mml:math></inline-formula>, and <inline-formula><mml:math id="M321" display="inline"><mml:mi>Q</mml:mi></mml:math></inline-formula> in a hydrological year (from 1 March to 28 February of the following year) for the two periods in the five subbasins. The red dashed rectangle in <bold>(a)</bold> shows the hydrograph recession from 1 October to 15 February of the following year, and the shading shows the range of the daily variation in <inline-formula><mml:math id="M322" display="inline"><mml:mi>P</mml:mi></mml:math></inline-formula>, <inline-formula><mml:math id="M323" display="inline"><mml:mi>T</mml:mi></mml:math></inline-formula>, and <inline-formula><mml:math id="M324" display="inline"><mml:mi>Q</mml:mi></mml:math></inline-formula> in each period.</p></caption>
            <?xmltex \igopts{width=426.791339pt}?><graphic xlink:href="https://hess.copernicus.org/articles/26/3901/2022/hess-26-3901-2022-f03.png"/>

          </fig>

      <p id="d1e5698">Climate in the recent period has changed to be markedly warmer and wetter. The mean annual <inline-formula><mml:math id="M325" display="inline"><mml:mi>P</mml:mi></mml:math></inline-formula> after 1997 increased by 27–46 <inline-formula><mml:math id="M326" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">mm</mml:mi></mml:mrow></mml:math></inline-formula> or
7.9 %–10.7 % compared to that in the early period in the five subbasins. The mean annual <inline-formula><mml:math id="M327" display="inline"><mml:mi>T</mml:mi></mml:math></inline-formula> in the recent period is
0.75–1.52 <inline-formula><mml:math id="M328" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup><mml:mi mathvariant="normal">C</mml:mi></mml:mrow></mml:math></inline-formula> warmer than that in the early period, and a larger rise of 1.40–1.78 <inline-formula><mml:math id="M329" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup><mml:mi mathvariant="normal">C</mml:mi></mml:mrow></mml:math></inline-formula> was found for the
mean <inline-formula><mml:math id="M330" display="inline"><mml:mrow><mml:msub><mml:mi>T</mml:mi><mml:mtext>re</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> after 1997. These changes concurred at 8.6–55.9 <inline-formula><mml:math id="M331" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">mm</mml:mi></mml:mrow></mml:math></inline-formula> or a 23.8 %–81.1 % increase in mean annual <inline-formula><mml:math id="M332" display="inline"><mml:mi>G</mml:mi></mml:math></inline-formula> after 1997 in the five subbasins. The mean <inline-formula><mml:math id="M333" display="inline"><mml:mrow><mml:msub><mml:mtext>MTD</mml:mtext><mml:mi mathvariant="normal">a</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M334" display="inline"><mml:mrow><mml:msub><mml:mtext>MTD</mml:mtext><mml:mtext>re</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> in the recent period is 8–18 and 2–7 <inline-formula><mml:math id="M335" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">d</mml:mi></mml:mrow></mml:math></inline-formula> greater than that in the early period of 1980–1996, respectively. As a result, <inline-formula><mml:math id="M336" display="inline"><mml:mi>Q</mml:mi></mml:math></inline-formula> increased by 29.6–50.2 <inline-formula><mml:math id="M337" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">mm</mml:mi></mml:mrow></mml:math></inline-formula> or 12.7 %–31.5 % in the recent period compared to that before 1997. This increase in <inline-formula><mml:math id="M338" display="inline"><mml:mi>Q</mml:mi></mml:math></inline-formula> and <inline-formula><mml:math id="M339" display="inline"><mml:mrow><mml:msub><mml:mi>Q</mml:mi><mml:mtext>re</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> after 1997 is much larger in the upstream subbasins NGS and YC.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F4" specific-use="star"><?xmltex \currentcnt{4}?><?xmltex \def\figurename{Figure}?><label>Figure 4</label><caption><p id="d1e5840">Discharge recession for selected years with approximately the same initial discharge <inline-formula><mml:math id="M340" display="inline"><mml:mrow><mml:msub><mml:mi>Q</mml:mi><mml:mn mathvariant="normal">0</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> in each subbasin.</p></caption>
            <?xmltex \igopts{width=369.885827pt}?><graphic xlink:href="https://hess.copernicus.org/articles/26/3901/2022/hess-26-3901-2022-f04.png"/>

          </fig>

<?xmltex \hack{\newpage}?>
</sec>
<sec id="Ch1.S4.SS1.SSS3">
  <label>4.1.3</label><title>Annual recession characteristics</title>
      <p id="d1e5870">As shown in Fig. 3, the annual hydrographs in the five subbasins are consistent, delineating a single peak response to maximum precipitation and temperature in July–August. The statistic values of the daily discharge series in the two periods show that the mean value in the recent period exceeds that in the early period in all subbasins. Meanwhile, daily discharge variability in the recession of the annual hydrograph in the recent period is also greater than that of the early period, shown by larger CV after 1997 for most subbasins, except subbasin YBJ (Table 2).</p>
      <p id="d1e5873">Figure 4 further exhibits that changes in recession rates are different in the early phase and the later phase of the recession for the selected
hydrographs with approximately the same initial discharge <inline-formula><mml:math id="M341" display="inline"><mml:mrow><mml:msub><mml:mi>Q</mml:mi><mml:mn mathvariant="normal">0</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> in each subbasin. In the recent period, the streamflow recedes faster in the early
phase of the recession and slows down in the later phase, except for LS.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F5" specific-use="star"><?xmltex \currentcnt{5}?><?xmltex \def\figurename{Figure}?><label>Figure 5</label><caption><p id="d1e5889"><bold>(a–e)</bold> Plot of <inline-formula><mml:math id="M342" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mi mathvariant="normal">d</mml:mi><mml:mi>Q</mml:mi><mml:mo>/</mml:mo><mml:mi mathvariant="normal">d</mml:mi><mml:mi>t</mml:mi></mml:mrow></mml:math></inline-formula> vs. <inline-formula><mml:math id="M343" display="inline"><mml:mi>Q</mml:mi></mml:math></inline-formula> in log–log diagram for each recession hydrograph during 1980–2015 and the fitting lines [<inline-formula><mml:math id="M344" display="inline"><mml:mrow><mml:mtext>log</mml:mtext><mml:mo>(</mml:mo><mml:mo>-</mml:mo><mml:mi mathvariant="normal">d</mml:mi><mml:mi>Q</mml:mi><mml:mo>/</mml:mo><mml:mi mathvariant="normal">d</mml:mi><mml:mi>t</mml:mi><mml:mo>)</mml:mo><mml:mo>=</mml:mo><mml:mi>b</mml:mi><mml:mtext>log</mml:mtext><mml:mo>(</mml:mo><mml:mi>Q</mml:mi><mml:mo>)</mml:mo><mml:mo>+</mml:mo><mml:mtext>log</mml:mtext><mml:mo>(</mml:mo><mml:mi>a</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>] for the data points in the two periods for the five subbasins. <bold>(f)</bold> Differences in mean recession rates between the two periods (<inline-formula><mml:math id="M345" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:msub><mml:mi>v</mml:mi><mml:mi>Q</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>) estimated from the non-overlapping moving averages of the 5 <inline-formula><mml:math id="M346" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">d</mml:mi></mml:mrow></mml:math></inline-formula> series.</p></caption>
            <?xmltex \igopts{width=341.433071pt}?><graphic xlink:href="https://hess.copernicus.org/articles/26/3901/2022/hess-26-3901-2022-f05.png"/>

            <?xmltex \hack{\vspace*{5mm}}?>
          </fig>

      <p id="d1e6000">The faster recessions in the recent periods are also illustrated by the regression on data points of <inline-formula><mml:math id="M347" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mi mathvariant="normal">d</mml:mi><mml:mi>Q</mml:mi><mml:mo>/</mml:mo><mml:mi mathvariant="normal">d</mml:mi><mml:mi>t</mml:mi></mml:mrow></mml:math></inline-formula> vs. <inline-formula><mml:math id="M348" display="inline"><mml:mi>Q</mml:mi></mml:math></inline-formula> in the log–log diagram (Fig. 5). The fitted line of <inline-formula><mml:math id="M349" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mi mathvariant="normal">d</mml:mi><mml:mi>Q</mml:mi><mml:mo>/</mml:mo><mml:mi mathvariant="normal">d</mml:mi><mml:mi>t</mml:mi></mml:mrow></mml:math></inline-formula> vs. <inline-formula><mml:math id="M350" display="inline"><mml:mi>Q</mml:mi></mml:math></inline-formula> after 1997 has a steeper slope (Fig. 5a–e) and a more negative intercept, except for LS, indicating a higher value of <inline-formula><mml:math id="M351" display="inline"><mml:mi>b</mml:mi></mml:math></inline-formula> and a smaller value of <inline-formula><mml:math id="M352" display="inline"><mml:mi>a</mml:mi></mml:math></inline-formula> for the subbasins of NGS, YC, NX, and YBJ after 1997. The increased <inline-formula><mml:math id="M353" display="inline"><mml:mi>b</mml:mi></mml:math></inline-formula> value and decreased <inline-formula><mml:math id="M354" display="inline"><mml:mi>a</mml:mi></mml:math></inline-formula> value after 1997 suggest that the recession curves tend to be more concave for these subbasins when the climate is warmer and wetter, as indicated in Fig. 4. According to the non-overlapping moving averages of the 5 <inline-formula><mml:math id="M355" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">d</mml:mi></mml:mrow></mml:math></inline-formula> series of the recession discharge, the estimated average recession rate after 1997 [<inline-formula><mml:math id="M356" display="inline"><mml:mrow><mml:mo>(</mml:mo><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>Q</mml:mi><mml:mo>/</mml:mo><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>t</mml:mi><mml:msub><mml:mo>)</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>] is larger than that before 1997 [<inline-formula><mml:math id="M357" display="inline"><mml:mrow><mml:mo>(</mml:mo><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>Q</mml:mi><mml:mo>/</mml:mo><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>t</mml:mi><mml:msub><mml:mo>)</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>], as indicated by the positive
values of <inline-formula><mml:math id="M358" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:msub><mml:mi>v</mml:mi><mml:mi>Q</mml:mi></mml:msub><mml:mo>=</mml:mo><mml:mo>(</mml:mo><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>Q</mml:mi><mml:mo>/</mml:mo><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>t</mml:mi><mml:msub><mml:mo>)</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:mo>-</mml:mo><mml:mo>(</mml:mo><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>Q</mml:mi><mml:mo>/</mml:mo><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>t</mml:mi><mml:msub><mml:mo>)</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> in Fig. 5f.</p>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T3" specific-use="star"><?xmltex \currentcnt{3}?><label>Table 3</label><caption><p id="d1e6192">Mean values of parameters <inline-formula><mml:math id="M359" display="inline"><mml:mi>a</mml:mi></mml:math></inline-formula> (<inline-formula><mml:math id="M360" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi mathvariant="normal">mm</mml:mi><mml:mrow><mml:mn mathvariant="normal">1</mml:mn><mml:mo>-</mml:mo><mml:mi mathvariant="normal">b</mml:mi></mml:mrow></mml:msup><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">d</mml:mi><mml:mrow><mml:mi mathvariant="normal">b</mml:mi><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>), <inline-formula><mml:math id="M361" display="inline"><mml:mrow><mml:msup><mml:mi>a</mml:mi><mml:mo>′</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula> (<inline-formula><mml:math id="M362" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi mathvariant="normal">d</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>) and <inline-formula><mml:math id="M363" display="inline"><mml:mi>b</mml:mi></mml:math></inline-formula> (dimensionless), recession coefficient <inline-formula><mml:math id="M364" display="inline"><mml:mi>K</mml:mi></mml:math></inline-formula> (<inline-formula><mml:math id="M365" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi mathvariant="normal">mm</mml:mi><mml:mrow><mml:mi mathvariant="normal">b</mml:mi><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">d</mml:mi><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>-</mml:mo><mml:mi mathvariant="normal">b</mml:mi></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>), and recession timescale <inline-formula><mml:math id="M366" display="inline"><mml:mi mathvariant="italic">τ</mml:mi></mml:math></inline-formula> (<inline-formula><mml:math id="M367" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">d</mml:mi></mml:mrow></mml:math></inline-formula>).</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="7">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="left" colsep="1"/>
     <oasis:colspec colnum="3" colname="col3" align="justify" colwidth="20mm"/>
     <oasis:colspec colnum="4" colname="col4" align="justify" colwidth="20mm"/>
     <oasis:colspec colnum="5" colname="col5" align="justify" colwidth="20mm"/>
     <oasis:colspec colnum="6" colname="col6" align="justify" colwidth="20mm"/>
     <oasis:colspec colnum="7" colname="col7" align="justify" colwidth="20mm"/>
     <oasis:thead>
       <oasis:row>
         <oasis:entry colname="col1">Period</oasis:entry>
         <oasis:entry colname="col2">Index</oasis:entry>
         <oasis:entry rowsep="1" namest="col3" nameend="col7" align="center">Mean annual value </oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3">NGS</oasis:entry>
         <oasis:entry colname="col4">YC</oasis:entry>
         <oasis:entry colname="col5">NX</oasis:entry>
         <oasis:entry colname="col6">YBJ</oasis:entry>
         <oasis:entry colname="col7">LS</oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>
         <oasis:entry colname="col1">1980–2015</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M371" display="inline"><mml:mi>a</mml:mi></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3">0.042<?xmltex \hack{\hfill\break}?>(0.033–0.060)</oasis:entry>
         <oasis:entry colname="col4">0.032<?xmltex \hack{\hfill\break}?>(0.025–0.043)</oasis:entry>
         <oasis:entry colname="col5">0.022<?xmltex \hack{\hfill\break}?>(0.019–0.027)</oasis:entry>
         <oasis:entry colname="col6">0.038<?xmltex \hack{\hfill\break}?>(0.025–0.052)</oasis:entry>
         <oasis:entry colname="col7">0.024<?xmltex \hack{\hfill\break}?>(0.018–0.032)</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">1980–1996</oasis:entry>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3">0.046</oasis:entry>
         <oasis:entry colname="col4">0.035</oasis:entry>
         <oasis:entry colname="col5">0.023</oasis:entry>
         <oasis:entry colname="col6">0.043</oasis:entry>
         <oasis:entry colname="col7">0.022</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">1997–2015</oasis:entry>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3">0.039</oasis:entry>
         <oasis:entry colname="col4">0.029</oasis:entry>
         <oasis:entry colname="col5">0.021</oasis:entry>
         <oasis:entry colname="col6">0.034</oasis:entry>
         <oasis:entry colname="col7">0.025</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M372" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>a</mml:mi></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M373" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.007<inline-formula><mml:math id="M374" display="inline"><mml:msup><mml:mi/><mml:mo>∗</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M375" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.006<inline-formula><mml:math id="M376" display="inline"><mml:msup><mml:mi/><mml:mo>∗</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col5"><inline-formula><mml:math id="M377" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.002<inline-formula><mml:math id="M378" display="inline"><mml:msup><mml:mi/><mml:mo>∗</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col6"><inline-formula><mml:math id="M379" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.009<inline-formula><mml:math id="M380" display="inline"><mml:msup><mml:mi/><mml:mo>∗</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col7">0.003<inline-formula><mml:math id="M381" display="inline"><mml:msup><mml:mi/><mml:mo>∗</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">1980–2015</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M382" display="inline"><mml:mrow><mml:msup><mml:mi>a</mml:mi><mml:mo>′</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3">0.015<?xmltex \hack{\hfill\break}?>(0.011–0.025)</oasis:entry>
         <oasis:entry colname="col4">0.015<?xmltex \hack{\hfill\break}?>(0.011–0.025)</oasis:entry>
         <oasis:entry colname="col5">0.017<?xmltex \hack{\hfill\break}?>(0.013–0.022)</oasis:entry>
         <oasis:entry colname="col6">0.025<?xmltex \hack{\hfill\break}?>(0.015–0.043)</oasis:entry>
         <oasis:entry colname="col7">0.017<?xmltex \hack{\hfill\break}?>(0.012–0.022)</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">1980–1996</oasis:entry>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3">0.017</oasis:entry>
         <oasis:entry colname="col4">0.017</oasis:entry>
         <oasis:entry colname="col5">0.019</oasis:entry>
         <oasis:entry colname="col6">0.027</oasis:entry>
         <oasis:entry colname="col7">0.015</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">1997–2015</oasis:entry>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3">0.014</oasis:entry>
         <oasis:entry colname="col4">0.014</oasis:entry>
         <oasis:entry colname="col5">0.015</oasis:entry>
         <oasis:entry colname="col6">0.023</oasis:entry>
         <oasis:entry colname="col7">0.017</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M383" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:msup><mml:mi>a</mml:mi><mml:mo>′</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M384" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.003<inline-formula><mml:math id="M385" display="inline"><mml:msup><mml:mi/><mml:mo>∗</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M386" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.003<inline-formula><mml:math id="M387" display="inline"><mml:msup><mml:mi/><mml:mo>∗</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col5"><inline-formula><mml:math id="M388" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.004<inline-formula><mml:math id="M389" display="inline"><mml:msup><mml:mi/><mml:mo>∗</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col6"><inline-formula><mml:math id="M390" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.004<inline-formula><mml:math id="M391" display="inline"><mml:msup><mml:mi/><mml:mo>∗</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col7">0.002<inline-formula><mml:math id="M392" display="inline"><mml:msup><mml:mi/><mml:mo>∗</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">1980–2015</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M393" display="inline"><mml:mi>b</mml:mi></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3">1.85<?xmltex \hack{\hfill\break}?>(1.645–1.990)</oasis:entry>
         <oasis:entry colname="col4">1.70<?xmltex \hack{\hfill\break}?>(1.506–1.992)</oasis:entry>
         <oasis:entry colname="col5">1.54<?xmltex \hack{\hfill\break}?>(1.297–1.789)</oasis:entry>
         <oasis:entry colname="col6">1.85<?xmltex \hack{\hfill\break}?>(1.607–1.979)</oasis:entry>
         <oasis:entry colname="col7">1.36<?xmltex \hack{\hfill\break}?>(1.117–1.783)</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">1980–1996</oasis:entry>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3">1.81</oasis:entry>
         <oasis:entry colname="col4">1.67</oasis:entry>
         <oasis:entry colname="col5">1.48</oasis:entry>
         <oasis:entry colname="col6">1.78</oasis:entry>
         <oasis:entry colname="col7">1.25</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">1997–2015</oasis:entry>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3">1.89</oasis:entry>
         <oasis:entry colname="col4">1.73</oasis:entry>
         <oasis:entry colname="col5">1.59</oasis:entry>
         <oasis:entry colname="col6">1.90</oasis:entry>
         <oasis:entry colname="col7">1.47</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M394" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>b</mml:mi></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3">0.08<inline-formula><mml:math id="M395" display="inline"><mml:msup><mml:mi/><mml:mo>∗</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col4">0.06</oasis:entry>
         <oasis:entry colname="col5">0.11<inline-formula><mml:math id="M396" display="inline"><mml:msup><mml:mi/><mml:mo>∗</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col6">0.11<inline-formula><mml:math id="M397" display="inline"><mml:msup><mml:mi/><mml:mo>∗</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col7">0.22<inline-formula><mml:math id="M398" display="inline"><mml:msup><mml:mi/><mml:mo>∗</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">1980–2015</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M399" display="inline"><mml:mi>K</mml:mi></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3">129.7<?xmltex \hack{\hfill\break}?>(73.7–196.5)</oasis:entry>
         <oasis:entry colname="col4">127.3<?xmltex \hack{\hfill\break}?>(68.3–203.0)</oasis:entry>
         <oasis:entry colname="col5">97.9<?xmltex \hack{\hfill\break}?>(63.4–131.0)</oasis:entry>
         <oasis:entry colname="col6">142.9<?xmltex \hack{\hfill\break}?>(59.0–205.4)</oasis:entry>
         <oasis:entry colname="col7">64.2<?xmltex \hack{\hfill\break}?>(46.3–88.8)</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">1980–1996</oasis:entry>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3">100.9</oasis:entry>
         <oasis:entry colname="col4">94.0</oasis:entry>
         <oasis:entry colname="col5">86.6</oasis:entry>
         <oasis:entry colname="col6">98.9</oasis:entry>
         <oasis:entry colname="col7">58.0</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">1997–2015</oasis:entry>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3">155.5</oasis:entry>
         <oasis:entry colname="col4">157.5</oasis:entry>
         <oasis:entry colname="col5">107.6</oasis:entry>
         <oasis:entry colname="col6">172.1</oasis:entry>
         <oasis:entry colname="col7">69.5</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M400" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>K</mml:mi></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3">54.6<inline-formula><mml:math id="M401" display="inline"><mml:msup><mml:mi/><mml:mo>∗</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col4">63.5<inline-formula><mml:math id="M402" display="inline"><mml:msup><mml:mi/><mml:mo>∗</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col5">21.0<inline-formula><mml:math id="M403" display="inline"><mml:msup><mml:mi/><mml:mo>∗</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col6">73.2<inline-formula><mml:math id="M404" display="inline"><mml:msup><mml:mi/><mml:mo>∗</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col7">11.5<inline-formula><mml:math id="M405" display="inline"><mml:msup><mml:mi/><mml:mo>∗</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">1980–2015</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M406" display="inline"><mml:mi mathvariant="italic">τ</mml:mi></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3">90.8<?xmltex \hack{\hfill\break}?>(65.7–117.3)</oasis:entry>
         <oasis:entry colname="col4">89.7<?xmltex \hack{\hfill\break}?>(64.0–126.6)</oasis:entry>
         <oasis:entry colname="col5">75.3<?xmltex \hack{\hfill\break}?>(56.7–108.4)</oasis:entry>
         <oasis:entry colname="col6">93.0<?xmltex \hack{\hfill\break}?>(56.1–141.7)</oasis:entry>
         <oasis:entry colname="col7">65.0<?xmltex \hack{\hfill\break}?>(49.0–110.9)</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">1980–1996</oasis:entry>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3">88.2</oasis:entry>
         <oasis:entry colname="col4">83.1</oasis:entry>
         <oasis:entry colname="col5">71.7</oasis:entry>
         <oasis:entry colname="col6">77.8</oasis:entry>
         <oasis:entry colname="col7">57.3</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">1997–2015</oasis:entry>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3">93.4</oasis:entry>
         <oasis:entry colname="col4">96.4</oasis:entry>
         <oasis:entry colname="col5">78.8</oasis:entry>
         <oasis:entry colname="col6">98.5</oasis:entry>
         <oasis:entry colname="col7">71.8</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M407" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi mathvariant="italic">τ</mml:mi></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3">5.2</oasis:entry>
         <oasis:entry colname="col4">13.4<inline-formula><mml:math id="M408" display="inline"><mml:msup><mml:mi/><mml:mo>∗</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col5">7.1</oasis:entry>
         <oasis:entry colname="col6">20.7<inline-formula><mml:math id="M409" display="inline"><mml:msup><mml:mi/><mml:mo>∗</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col7">14.5<inline-formula><mml:math id="M410" display="inline"><mml:msup><mml:mi/><mml:mo>∗</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table><table-wrap-foot><p id="d1e6311">The asterisk<inline-formula><mml:math id="M368" display="inline"><mml:msup><mml:mi/><mml:mo>∗</mml:mo></mml:msup></mml:math></inline-formula> indicates the significance by the TFPW-MK test (<inline-formula><mml:math id="M369" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M370" display="inline"><mml:mo>&lt;</mml:mo></mml:math></inline-formula> 0.05). Values in parentheses refer to the range of annual value.</p></table-wrap-foot></table-wrap>

      <?xmltex \floatpos{t}?><fig id="Ch1.F6" specific-use="star"><?xmltex \currentcnt{6}?><?xmltex \def\figurename{Figure}?><label>Figure 6</label><caption><p id="d1e7234">The box plot of <bold>(a)</bold> the RMSLE of <inline-formula><mml:math id="M411" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mi mathvariant="normal">d</mml:mi><mml:mi>Q</mml:mi><mml:mo>/</mml:mo><mml:mi mathvariant="normal">d</mml:mi><mml:mi>t</mml:mi></mml:mrow></mml:math></inline-formula> between observed and estimated discharge and <bold>(b)</bold> <inline-formula><mml:math id="M412" display="inline"><mml:mrow><mml:msub><mml:mi>E</mml:mi><mml:mtext>MAP</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> between annual mean observed and estimated discharge for individual recession hydrographs in each subbasin.</p></caption>
            <?xmltex \igopts{width=341.433071pt}?><graphic xlink:href="https://hess.copernicus.org/articles/26/3901/2022/hess-26-3901-2022-f06.png"/>

            <?xmltex \hack{\vspace*{5mm}}?>
          </fig>

</sec>
</sec>
<sec id="Ch1.S4.SS2">
  <label>4.2</label><title>Estimation of the recession parameters</title>
      <p id="d1e7289">We used the observed hydrograph in each year and obtained the recession parameters <inline-formula><mml:math id="M413" display="inline"><mml:mi>a</mml:mi></mml:math></inline-formula> and <inline-formula><mml:math id="M414" display="inline"><mml:mi>b</mml:mi></mml:math></inline-formula>. Afterwards, <inline-formula><mml:math id="M415" display="inline"><mml:mrow><mml:msup><mml:mi>a</mml:mi><mml:mo>′</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula> is calculated using the
scaling factor <inline-formula><mml:math id="M416" display="inline"><mml:mi>k</mml:mi></mml:math></inline-formula> (0.527, 0.602, 0.740, 0.594, and 0.611 <inline-formula><mml:math id="M417" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">mm</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">d</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> for NGS, YC, NX, YBJ, and LS, respectively). The results are summarized
in Table 3. The mean values of annual <inline-formula><mml:math id="M418" display="inline"><mml:mi>a</mml:mi></mml:math></inline-formula> and <inline-formula><mml:math id="M419" display="inline"><mml:mrow><mml:msup><mml:mi>a</mml:mi><mml:mo>′</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula> during 1980–2015 range from 0.022 to 0.042 <inline-formula><mml:math id="M420" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi mathvariant="normal">mm</mml:mi><mml:mrow><mml:mn mathvariant="normal">1</mml:mn><mml:mo>-</mml:mo><mml:mi mathvariant="normal">b</mml:mi></mml:mrow></mml:msup><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">d</mml:mi><mml:mrow><mml:mi mathvariant="normal">b</mml:mi><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> and from 0.015 to 0.025 <inline-formula><mml:math id="M421" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi mathvariant="normal">d</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>, respectively, and the mean annual value of <inline-formula><mml:math id="M422" display="inline"><mml:mi>b</mml:mi></mml:math></inline-formula> ranges from 1.36 to 1.85 for the five subbasins. Figure 6 shows the errors of the estimated recession (RMSLE and <inline-formula><mml:math id="M423" display="inline"><mml:mrow><mml:msub><mml:mi>E</mml:mi><mml:mtext>MAP</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula>) for the recession curve of each subbasin. Mean annual RMSLE is less than 0.15 in all subbasins. The mean annual <inline-formula><mml:math id="M424" display="inline"><mml:mrow><mml:msub><mml:mi>E</mml:mi><mml:mtext>MAP</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> is lower than 10 %, except in the subbasins of YBJ and LS, where <inline-formula><mml:math id="M425" display="inline"><mml:mrow><mml:msub><mml:mi>E</mml:mi><mml:mtext>MAP</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> is 0.15 and 0.14, respectively.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F7" specific-use="star"><?xmltex \currentcnt{7}?><?xmltex \def\figurename{Figure}?><label>Figure 7</label><caption><p id="d1e7444"><bold>(a–e)</bold> The exponential function of <inline-formula><mml:math id="M426" display="inline"><mml:mrow><mml:msup><mml:mi>a</mml:mi><mml:mo>′</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula> with <inline-formula><mml:math id="M427" display="inline"><mml:mrow><mml:msub><mml:mi>T</mml:mi><mml:mtext>re</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> for each subbasin. <bold>(f–j)</bold> Same as panels <bold>(a–e)</bold> but for recession slope <inline-formula><mml:math id="M428" display="inline"><mml:mi>b</mml:mi></mml:math></inline-formula>. The solid and open circles represent the  4-year average and annual value, respectively.</p></caption>
          <?xmltex \igopts{width=341.433071pt}?><graphic xlink:href="https://hess.copernicus.org/articles/26/3901/2022/hess-26-3901-2022-f07.png"/>

        </fig>

      <p id="d1e7490">Figure 7 shows the relationship of the annual value and 4-year moving average value of the recession parameters <inline-formula><mml:math id="M429" display="inline"><mml:mrow><mml:msup><mml:mi>a</mml:mi><mml:mo>′</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M430" display="inline"><mml:mi>b</mml:mi></mml:math></inline-formula> with mean surface air
temperature in the recession period (<inline-formula><mml:math id="M431" display="inline"><mml:mrow><mml:msub><mml:mi>T</mml:mi><mml:mtext>re</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula>) in each subbasin. The exponential function between <inline-formula><mml:math id="M432" display="inline"><mml:mrow><mml:msup><mml:mi>a</mml:mi><mml:mo>′</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula> or <inline-formula><mml:math id="M433" display="inline"><mml:mi>b</mml:mi></mml:math></inline-formula> and <inline-formula><mml:math id="M434" display="inline"><mml:mrow><mml:msub><mml:mi>T</mml:mi><mml:mtext>re</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> is
fitted with a high determination coefficient (<inline-formula><mml:math id="M435" display="inline"><mml:mrow><mml:msup><mml:mi>R</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula> ranges 0.51–0.67 for <inline-formula><mml:math id="M436" display="inline"><mml:mrow><mml:msup><mml:mi>a</mml:mi><mml:mo>′</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula> and 0.58–0.87 for <inline-formula><mml:math id="M437" display="inline"><mml:mi>b</mml:mi></mml:math></inline-formula>). These results show that
<inline-formula><mml:math id="M438" display="inline"><mml:mrow><mml:msup><mml:mi>a</mml:mi><mml:mo>′</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula> decreases exponentially with increasing <inline-formula><mml:math id="M439" display="inline"><mml:mrow><mml:msub><mml:mi>T</mml:mi><mml:mtext>re</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> in the subbasins, except for LS, while <inline-formula><mml:math id="M440" display="inline"><mml:mi>b</mml:mi></mml:math></inline-formula> increases exponentially with
increasing <inline-formula><mml:math id="M441" display="inline"><mml:mrow><mml:msub><mml:mi>T</mml:mi><mml:mtext>re</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> in all subbasins.</p>
      <p id="d1e7623">For the multiyear mean values of parameters <inline-formula><mml:math id="M442" display="inline"><mml:mi>a</mml:mi></mml:math></inline-formula>, <inline-formula><mml:math id="M443" display="inline"><mml:mrow><mml:msup><mml:mi>a</mml:mi><mml:mo>′</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula>, and <inline-formula><mml:math id="M444" display="inline"><mml:mi>b</mml:mi></mml:math></inline-formula> in the two periods (Table 3), the mean value of <inline-formula><mml:math id="M445" display="inline"><mml:mi>a</mml:mi></mml:math></inline-formula> and <inline-formula><mml:math id="M446" display="inline"><mml:mrow><mml:msup><mml:mi>a</mml:mi><mml:mo>′</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula> in the
recent period ranges between 0.021–0.039 <inline-formula><mml:math id="M447" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi mathvariant="normal">mm</mml:mi><mml:mrow><mml:mn mathvariant="normal">1</mml:mn><mml:mo>-</mml:mo><mml:mi mathvariant="normal">b</mml:mi></mml:mrow></mml:msup><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">d</mml:mi><mml:mrow><mml:mi mathvariant="normal">b</mml:mi><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> and 0.014–0.023 <inline-formula><mml:math id="M448" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi mathvariant="normal">d</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>, respectively, which is smaller than that in the early period when they range between 0.022–0.046 <inline-formula><mml:math id="M449" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi mathvariant="normal">mm</mml:mi><mml:mrow><mml:mn mathvariant="normal">1</mml:mn><mml:mo>-</mml:mo><mml:mi mathvariant="normal">b</mml:mi></mml:mrow></mml:msup><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">d</mml:mi><mml:mrow><mml:mi mathvariant="normal">b</mml:mi><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> and 0.015–0.027 <inline-formula><mml:math id="M450" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi mathvariant="normal">d</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>, respectively, in the subbasins, except for LS. On the other hand, <inline-formula><mml:math id="M451" display="inline"><mml:mi>b</mml:mi></mml:math></inline-formula> ranges between 1.47–1.89 in the recent period, which is larger than that in the early period (1.25–1.81) for all subbasins. These results indicate that a warming and wetting climate increases the nonlinearity of the recession (<inline-formula><mml:math id="M452" display="inline"><mml:mi>b</mml:mi></mml:math></inline-formula>) and enhances stability of low streamflow [<inline-formula><mml:math id="M453" display="inline"><mml:mrow><mml:mtext>log</mml:mtext><mml:mo>(</mml:mo><mml:mi>a</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>] for most subbasins in YRB.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F8" specific-use="star"><?xmltex \currentcnt{8}?><?xmltex \def\figurename{Figure}?><label>Figure 8</label><caption><p id="d1e7783">Relationship of <inline-formula><mml:math id="M454" display="inline"><mml:mi>S</mml:mi></mml:math></inline-formula> and <inline-formula><mml:math id="M455" display="inline"><mml:mi>Q</mml:mi></mml:math></inline-formula> at different values of <inline-formula><mml:math id="M456" display="inline"><mml:mi>K</mml:mi></mml:math></inline-formula> <bold>(a)</bold> and <inline-formula><mml:math id="M457" display="inline"><mml:mi>m</mml:mi></mml:math></inline-formula> <bold>(b)</bold> and combinations of <inline-formula><mml:math id="M458" display="inline"><mml:mi>K</mml:mi></mml:math></inline-formula> and <inline-formula><mml:math id="M459" display="inline"><mml:mi>m</mml:mi></mml:math></inline-formula> <bold>(c)</bold> in the two periods for subbasin YC. The different set of numbers in the blue box with a dashed line in each panel shows the <inline-formula><mml:math id="M460" display="inline"><mml:mi>K</mml:mi></mml:math></inline-formula> and <inline-formula><mml:math id="M461" display="inline"><mml:mi>m</mml:mi></mml:math></inline-formula> values and therefore the different <inline-formula><mml:math id="M462" display="inline"><mml:mi>S</mml:mi></mml:math></inline-formula>–<inline-formula><mml:math id="M463" display="inline"><mml:mi>Q</mml:mi></mml:math></inline-formula> relationships in the recent warmer period.</p></caption>
          <?xmltex \igopts{width=369.885827pt}?><graphic xlink:href="https://hess.copernicus.org/articles/26/3901/2022/hess-26-3901-2022-f08.png"/>

        </fig>

</sec>
<sec id="Ch1.S4.SS3">
  <label>4.3</label><title>Change in storage–discharge relationship in warming climate</title>
      <p id="d1e7881">The strong sensitivity of the recession parameters of <inline-formula><mml:math id="M464" display="inline"><mml:mi>a</mml:mi></mml:math></inline-formula> (<inline-formula><mml:math id="M465" display="inline"><mml:mrow><mml:msup><mml:mi>a</mml:mi><mml:mo>′</mml:mo></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M466" display="inline"><mml:mi>b</mml:mi></mml:math></inline-formula> to <inline-formula><mml:math id="M467" display="inline"><mml:mi>T</mml:mi></mml:math></inline-formula> means that a warming climate can change the nonlinear
relationship of the water storage (<inline-formula><mml:math id="M468" display="inline"><mml:mi>S</mml:mi></mml:math></inline-formula>) and discharge/streamflow (<inline-formula><mml:math id="M469" display="inline"><mml:mi>Q</mml:mi></mml:math></inline-formula>) (Eq. <xref ref-type="disp-formula" rid="Ch1.E2"/>). This change is shown by the increase in the recession
coefficient <inline-formula><mml:math id="M470" display="inline"><mml:mi>K</mml:mi></mml:math></inline-formula> in the recent period (11.5–73.2 <inline-formula><mml:math id="M471" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi mathvariant="normal">mm</mml:mi><mml:mrow><mml:mi mathvariant="normal">b</mml:mi><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">d</mml:mi><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>-</mml:mo><mml:mi mathvariant="normal">b</mml:mi></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> for <inline-formula><mml:math id="M472" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>K</mml:mi></mml:mrow></mml:math></inline-formula> in Table 3) and decrease in <inline-formula><mml:math id="M473" display="inline"><mml:mi>m</mml:mi></mml:math></inline-formula> (<inline-formula><mml:math id="M474" display="inline"><mml:mrow><mml:mo>=</mml:mo><mml:mn mathvariant="normal">2</mml:mn><mml:mo>-</mml:mo><mml:mi>b</mml:mi></mml:mrow></mml:math></inline-formula>) in Eq. (<xref ref-type="disp-formula" rid="Ch1.E2"/>)
because <inline-formula><mml:math id="M475" display="inline"><mml:mi>b</mml:mi></mml:math></inline-formula> increases with the temperature (Table 3 and Fig. 7). The increase in <inline-formula><mml:math id="M476" display="inline"><mml:mi>K</mml:mi></mml:math></inline-formula> and decrease in <inline-formula><mml:math id="M477" display="inline"><mml:mi>m</mml:mi></mml:math></inline-formula> mean a lower discharge for a specific storage
or a higher storage for a specific discharge in the recent warmer period. As an example, we show, in Fig. 8, the relationship of <inline-formula><mml:math id="M478" display="inline"><mml:mi>S</mml:mi></mml:math></inline-formula> with <inline-formula><mml:math id="M479" display="inline"><mml:mi>Q</mml:mi></mml:math></inline-formula> for
different <inline-formula><mml:math id="M480" display="inline"><mml:mi>K</mml:mi></mml:math></inline-formula> and/or <inline-formula><mml:math id="M481" display="inline"><mml:mi>m</mml:mi></mml:math></inline-formula> between the two periods in subbasin YC. <inline-formula><mml:math id="M482" display="inline"><mml:mi>Q</mml:mi></mml:math></inline-formula> decreases significantly with the increase in <inline-formula><mml:math id="M483" display="inline"><mml:mi>K</mml:mi></mml:math></inline-formula> or decrease in <inline-formula><mml:math id="M484" display="inline"><mml:mi>m</mml:mi></mml:math></inline-formula> for
storage <inline-formula><mml:math id="M485" display="inline"><mml:mi>S</mml:mi></mml:math></inline-formula> (Fig. 8a and b). The combination of the increase in <inline-formula><mml:math id="M486" display="inline"><mml:mi>K</mml:mi></mml:math></inline-formula> and decrease in <inline-formula><mml:math id="M487" display="inline"><mml:mi>m</mml:mi></mml:math></inline-formula> leads to a marked decrease in <inline-formula><mml:math id="M488" display="inline"><mml:mi>Q</mml:mi></mml:math></inline-formula> for storage <inline-formula><mml:math id="M489" display="inline"><mml:mi>S</mml:mi></mml:math></inline-formula>
(Fig. 8c). Correspondingly, the recession timescale (<inline-formula><mml:math id="M490" display="inline"><mml:mi mathvariant="italic">τ</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M491" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> <inline-formula><mml:math id="M492" display="inline"><mml:mrow><mml:mi mathvariant="normal">d</mml:mi><mml:mi>S</mml:mi><mml:mo>/</mml:mo><mml:mi mathvariant="normal">d</mml:mi><mml:mi>Q</mml:mi></mml:mrow></mml:math></inline-formula>) increases by 5.2–20.7 <inline-formula><mml:math id="M493" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">d</mml:mi></mml:mrow></mml:math></inline-formula> in the recent warmer period in all subbasins (Table 3), especially the glaciated subbasin YBJ. The increase in <inline-formula><mml:math id="M494" display="inline"><mml:mi mathvariant="italic">τ</mml:mi></mml:math></inline-formula> also means an  increase in storage for <inline-formula><mml:math id="M495" display="inline"><mml:mi>Q</mml:mi></mml:math></inline-formula> because <inline-formula><mml:math id="M496" display="inline"><mml:mrow><mml:mi>S</mml:mi><mml:mo>(</mml:mo><mml:mi>Q</mml:mi><mml:mo>)</mml:mo><mml:msub><mml:mi>S</mml:mi><mml:mn mathvariant="normal">0</mml:mn></mml:msub><mml:mo>=</mml:mo><mml:msubsup><mml:mo>∫</mml:mo><mml:mrow><mml:msub><mml:mi>S</mml:mi><mml:mn mathvariant="normal">0</mml:mn></mml:msub></mml:mrow><mml:mi>S</mml:mi></mml:msubsup><mml:mi mathvariant="normal">d</mml:mi><mml:mi>S</mml:mi><mml:mo>=</mml:mo><mml:mo>-</mml:mo><mml:msubsup><mml:mo>∫</mml:mo><mml:mrow><mml:msub><mml:mi>Q</mml:mi><mml:mn mathvariant="normal">0</mml:mn></mml:msub></mml:mrow><mml:mi>Q</mml:mi></mml:msubsup><mml:mi mathvariant="italic">τ</mml:mi><mml:mo>(</mml:mo><mml:mi>Q</mml:mi><mml:mo>)</mml:mo><mml:mi mathvariant="normal">d</mml:mi><mml:mi>Q</mml:mi></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M497" display="inline"><mml:mo>&gt;</mml:mo></mml:math></inline-formula> 0 in the recession.</p>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T4" specific-use="star"><?xmltex \currentcnt{4}?><label>Table 4</label><caption><p id="d1e8238">The storage sensitivity of discharge (<inline-formula><mml:math id="M498" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">λ</mml:mi><mml:mi mathvariant="normal">S</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>; <inline-formula><mml:math id="M499" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi mathvariant="normal">mm</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>) and sensitivity coefficients of recession parameters of <inline-formula><mml:math id="M500" display="inline"><mml:mrow><mml:msup><mml:mi>a</mml:mi><mml:mo>′</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula> (<inline-formula><mml:math id="M501" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">λ</mml:mi><mml:mrow><mml:msup><mml:mi>a</mml:mi><mml:mo>′</mml:mo></mml:msup></mml:mrow></mml:msub></mml:mrow></mml:math></inline-formula>) and <inline-formula><mml:math id="M502" display="inline"><mml:mi>b</mml:mi></mml:math></inline-formula> (<inline-formula><mml:math id="M503" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">λ</mml:mi><mml:mi>b</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>), <inline-formula><mml:math id="M504" display="inline"><mml:mi>T</mml:mi></mml:math></inline-formula> (<inline-formula><mml:math id="M505" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">λ</mml:mi><mml:mi>T</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>), and <inline-formula><mml:math id="M506" display="inline"><mml:mi>Q</mml:mi></mml:math></inline-formula> (<inline-formula><mml:math id="M507" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">λ</mml:mi><mml:mi>Q</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>) to storage changes (<inline-formula><mml:math id="M508" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>S</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> during different periods for each subbasin. The values in parentheses refer to the range of annual value.</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="7">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="left" colsep="1"/>
     <oasis:colspec colnum="3" colname="col3" align="justify" colwidth="20mm"/>
     <oasis:colspec colnum="4" colname="col4" align="justify" colwidth="20mm"/>
     <oasis:colspec colnum="5" colname="col5" align="justify" colwidth="20mm"/>
     <oasis:colspec colnum="6" colname="col6" align="justify" colwidth="20mm"/>
     <oasis:colspec colnum="7" colname="col7" align="justify" colwidth="20mm"/>
     <oasis:thead>
       <oasis:row>
         <oasis:entry colname="col1">Period</oasis:entry>
         <oasis:entry colname="col2">Index</oasis:entry>
         <oasis:entry rowsep="1" namest="col3" nameend="col7" align="center">Mean annual value </oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3">NGS</oasis:entry>
         <oasis:entry colname="col4">YC</oasis:entry>
         <oasis:entry colname="col5">NX</oasis:entry>
         <oasis:entry colname="col6">YBJ</oasis:entry>
         <oasis:entry colname="col7">LS</oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>
         <oasis:entry colname="col1">1980–2015</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M511" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">λ</mml:mi><mml:mi mathvariant="normal">S</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3">0.059<?xmltex \hack{\hfill\break}?>(0.035–0.095)</oasis:entry>
         <oasis:entry colname="col4">0.048<?xmltex \hack{\hfill\break}?>(0.030–0.090)</oasis:entry>
         <oasis:entry colname="col5">0.036<?xmltex \hack{\hfill\break}?>(0.026–0.058)</oasis:entry>
         <oasis:entry colname="col6">0.053<?xmltex \hack{\hfill\break}?>(0.032–0.095)</oasis:entry>
         <oasis:entry colname="col7">0.050<?xmltex \hack{\hfill\break}?>(0.035–0.085)</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">1980–1996</oasis:entry>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3">0.069</oasis:entry>
         <oasis:entry colname="col4">0.058</oasis:entry>
         <oasis:entry colname="col5">0.042</oasis:entry>
         <oasis:entry colname="col6">0.066</oasis:entry>
         <oasis:entry colname="col7">0.056</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">1997–2015</oasis:entry>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3">0.050</oasis:entry>
         <oasis:entry colname="col4">0.042</oasis:entry>
         <oasis:entry colname="col5">0.031</oasis:entry>
         <oasis:entry colname="col6">0.041</oasis:entry>
         <oasis:entry colname="col7">0.046</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M512" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:msub><mml:mi mathvariant="italic">λ</mml:mi><mml:mi mathvariant="normal">S</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M513" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.019<inline-formula><mml:math id="M514" display="inline"><mml:msup><mml:mi/><mml:mo>∗</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M515" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.016<inline-formula><mml:math id="M516" display="inline"><mml:msup><mml:mi/><mml:mo>∗</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col5"><inline-formula><mml:math id="M517" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.012<inline-formula><mml:math id="M518" display="inline"><mml:msup><mml:mi/><mml:mo>∗</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col6"><inline-formula><mml:math id="M519" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.025<inline-formula><mml:math id="M520" display="inline"><mml:msup><mml:mi/><mml:mo>∗</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col7"><inline-formula><mml:math id="M521" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.010</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">1980–2015</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M522" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">λ</mml:mi><mml:mrow><mml:msup><mml:mi>a</mml:mi><mml:mo>′</mml:mo></mml:msup></mml:mrow></mml:msub></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M523" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>1380</oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M524" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>2131</oasis:entry>
         <oasis:entry colname="col5"><inline-formula><mml:math id="M525" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>2920</oasis:entry>
         <oasis:entry colname="col6"><inline-formula><mml:math id="M526" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>2051</oasis:entry>
         <oasis:entry colname="col7"><inline-formula><mml:math id="M527" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>1733</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">1980–1996</oasis:entry>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M528" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>948</oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M529" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>1291</oasis:entry>
         <oasis:entry colname="col5"><inline-formula><mml:math id="M530" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>2177</oasis:entry>
         <oasis:entry colname="col6"><inline-formula><mml:math id="M531" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>1247</oasis:entry>
         <oasis:entry colname="col7"><inline-formula><mml:math id="M532" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>1595</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">1997–2015</oasis:entry>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M533" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>1984</oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M534" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>3538</oasis:entry>
         <oasis:entry colname="col5"><inline-formula><mml:math id="M535" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>3822</oasis:entry>
         <oasis:entry colname="col6"><inline-formula><mml:math id="M536" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>3777</oasis:entry>
         <oasis:entry colname="col7"><inline-formula><mml:math id="M537" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>1927</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M538" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:msub><mml:mi mathvariant="italic">λ</mml:mi><mml:mrow><mml:msup><mml:mi>a</mml:mi><mml:mo>′</mml:mo></mml:msup></mml:mrow></mml:msub></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M539" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>1036<inline-formula><mml:math id="M540" display="inline"><mml:msup><mml:mi/><mml:mo>∗</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M541" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>2274<inline-formula><mml:math id="M542" display="inline"><mml:msup><mml:mi/><mml:mo>∗</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col5"><inline-formula><mml:math id="M543" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>1645<inline-formula><mml:math id="M544" display="inline"><mml:msup><mml:mi/><mml:mo>∗</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col6"><inline-formula><mml:math id="M545" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>2530<inline-formula><mml:math id="M546" display="inline"><mml:msup><mml:mi/><mml:mo>∗</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col7"><inline-formula><mml:math id="M547" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>332</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">1980–2015</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M548" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">λ</mml:mi><mml:mi>b</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3">664</oasis:entry>
         <oasis:entry colname="col4">477</oasis:entry>
         <oasis:entry colname="col5">204</oasis:entry>
         <oasis:entry colname="col6">786</oasis:entry>
         <oasis:entry colname="col7">96</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">1980–1996</oasis:entry>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3">435</oasis:entry>
         <oasis:entry colname="col4">270</oasis:entry>
         <oasis:entry colname="col5">157</oasis:entry>
         <oasis:entry colname="col6">371</oasis:entry>
         <oasis:entry colname="col7">72</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">1997–2015</oasis:entry>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3">950</oasis:entry>
         <oasis:entry colname="col4">786</oasis:entry>
         <oasis:entry colname="col5">257</oasis:entry>
         <oasis:entry colname="col6">1428</oasis:entry>
         <oasis:entry colname="col7">129</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M549" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:msub><mml:mi mathvariant="italic">λ</mml:mi><mml:mi>b</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3">515<inline-formula><mml:math id="M550" display="inline"><mml:msup><mml:mi/><mml:mo>∗</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col4">515<inline-formula><mml:math id="M551" display="inline"><mml:msup><mml:mi/><mml:mo>∗</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col5">100<inline-formula><mml:math id="M552" display="inline"><mml:msup><mml:mi/><mml:mo>∗</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col6">1057<inline-formula><mml:math id="M553" display="inline"><mml:msup><mml:mi/><mml:mo>∗</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col7">58</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">1980–2015</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M554" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">λ</mml:mi><mml:mi>Q</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3">90.8</oasis:entry>
         <oasis:entry colname="col4">89.7</oasis:entry>
         <oasis:entry colname="col5">75.3</oasis:entry>
         <oasis:entry colname="col6">93.0</oasis:entry>
         <oasis:entry colname="col7">65.0</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">1980–1996</oasis:entry>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3">88.2</oasis:entry>
         <oasis:entry colname="col4">83.1</oasis:entry>
         <oasis:entry colname="col5">71.7</oasis:entry>
         <oasis:entry colname="col6">77.8</oasis:entry>
         <oasis:entry colname="col7">57.3</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">1997–2015</oasis:entry>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3">93.4</oasis:entry>
         <oasis:entry colname="col4">96.4</oasis:entry>
         <oasis:entry colname="col5">78.8</oasis:entry>
         <oasis:entry colname="col6">98.5</oasis:entry>
         <oasis:entry colname="col7">71.8</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M555" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:msub><mml:mi mathvariant="italic">λ</mml:mi><mml:mi>Q</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3">5.2</oasis:entry>
         <oasis:entry colname="col4">13.4<inline-formula><mml:math id="M556" display="inline"><mml:msup><mml:mi/><mml:mo>∗</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col5">7.1</oasis:entry>
         <oasis:entry colname="col6">20.7<inline-formula><mml:math id="M557" display="inline"><mml:msup><mml:mi/><mml:mo>∗</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col7">14.5<inline-formula><mml:math id="M558" display="inline"><mml:msup><mml:mi/><mml:mo>∗</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">1980–2015</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M559" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">λ</mml:mi><mml:mi>T</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3">37.1</oasis:entry>
         <oasis:entry colname="col4">51.0</oasis:entry>
         <oasis:entry colname="col5">25.1</oasis:entry>
         <oasis:entry colname="col6">95.2</oasis:entry>
         <oasis:entry colname="col7">11.9</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">1980–1996</oasis:entry>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3">24.4</oasis:entry>
         <oasis:entry colname="col4">28.8</oasis:entry>
         <oasis:entry colname="col5">18.8</oasis:entry>
         <oasis:entry colname="col6">46.7</oasis:entry>
         <oasis:entry colname="col7">7.2</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">1997–2015</oasis:entry>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3">52.5</oasis:entry>
         <oasis:entry colname="col4">83.8</oasis:entry>
         <oasis:entry colname="col5">32.4</oasis:entry>
         <oasis:entry colname="col6">163.5</oasis:entry>
         <oasis:entry colname="col7">18.8</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M560" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:msub><mml:mi mathvariant="italic">λ</mml:mi><mml:mi>T</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3">28.1<inline-formula><mml:math id="M561" display="inline"><mml:msup><mml:mi/><mml:mo>∗</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col4">55.1<inline-formula><mml:math id="M562" display="inline"><mml:msup><mml:mi/><mml:mo>∗</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col5">13.6</oasis:entry>
         <oasis:entry colname="col6">111.3<inline-formula><mml:math id="M563" display="inline"><mml:msup><mml:mi/><mml:mo>∗</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col7">11.7</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table><table-wrap-foot><p id="d1e8359">The asterisk <inline-formula><mml:math id="M509" display="inline"><mml:msup><mml:mi/><mml:mo>*</mml:mo></mml:msup></mml:math></inline-formula> indicates the significance by the TFPW-MK test (<inline-formula><mml:math id="M510" display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mo>&lt;</mml:mo><mml:mn mathvariant="normal">0.05</mml:mn></mml:mrow></mml:math></inline-formula>).</p></table-wrap-foot></table-wrap>

      <p id="d1e9344">The lower discharge for a specific storage or higher storage for any specific discharge are further shown by the results of the storage sensitivity of the
discharge (<inline-formula><mml:math id="M564" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">λ</mml:mi><mml:mi mathvariant="normal">S</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> in Eq. <xref ref-type="disp-formula" rid="Ch1.E4"/>) in Table 4. The mean value of <inline-formula><mml:math id="M565" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">λ</mml:mi><mml:mi mathvariant="normal">S</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> during 1980–2015 ranges between 0.036 and
0.059 <inline-formula><mml:math id="M566" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi mathvariant="normal">mm</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> for the five subbasins. These values mean that 1 <inline-formula><mml:math id="M567" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">mm</mml:mi></mml:mrow></mml:math></inline-formula> decrease in storage only results in 3.6 %–5.9 % decrease in discharge. Thus, in a warmer climate, a unit decrease in the storage releases less water to discharge in the recession period and is supported by the decrease in <inline-formula><mml:math id="M568" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">λ</mml:mi><mml:mi mathvariant="normal">S</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> in the recent warmer period (see the negative values of <inline-formula><mml:math id="M569" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:msub><mml:mi mathvariant="italic">λ</mml:mi><mml:mi>S</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> in Table 4) and towards the warmer and wetter downstream for the main stem of YRB (from NGS to NX; see the mean annual value of <inline-formula><mml:math id="M570" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">λ</mml:mi><mml:mi>S</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> during 1980–2015 in Table 4). This is especially so in glaciated basins, e.g., YBJ, where the decrease in <inline-formula><mml:math id="M571" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">λ</mml:mi><mml:mi mathvariant="normal">S</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> (<inline-formula><mml:math id="M572" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:msub><mml:mi mathvariant="italic">λ</mml:mi><mml:mi mathvariant="normal">S</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> in Table 4) is largest in the recent period, corresponding to the largest increase in <inline-formula><mml:math id="M573" display="inline"><mml:mi mathvariant="italic">τ</mml:mi></mml:math></inline-formula>. We also note that the decrease in <inline-formula><mml:math id="M574" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">λ</mml:mi><mml:mi mathvariant="normal">S</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>  (<inline-formula><mml:math id="M575" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:msub><mml:mi mathvariant="italic">λ</mml:mi><mml:mi mathvariant="normal">S</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>) in LS is relatively small in the recent period, primarily because of the regulation of reservoirs on discharge.</p>
</sec>
<sec id="Ch1.S4.SS4">
  <label>4.4</label><title>Sensitivity of the recession parameters to storage change under climate warming</title>
      <p id="d1e9493">The change in the sensitivity of discharge to storage (<inline-formula><mml:math id="M576" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">λ</mml:mi><mml:mi mathvariant="normal">S</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>) should affect the recession processes. This effect is described by the
sensitivity of the recession parameters to storage change <inline-formula><mml:math id="M577" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>S</mml:mi></mml:mrow></mml:math></inline-formula> (<inline-formula><mml:math id="M578" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">λ</mml:mi><mml:mrow><mml:msup><mml:mi>a</mml:mi><mml:mo>′</mml:mo></mml:msup></mml:mrow></mml:msub></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M579" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">λ</mml:mi><mml:mi>b</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> for <inline-formula><mml:math id="M580" display="inline"><mml:mrow><mml:msup><mml:mi>a</mml:mi><mml:mo>′</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M581" display="inline"><mml:mi>b</mml:mi></mml:math></inline-formula>,
respectively). As listed in Table 4, <inline-formula><mml:math id="M582" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">λ</mml:mi><mml:mi>b</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> is positive, while <inline-formula><mml:math id="M583" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">λ</mml:mi><mml:mrow><mml:msup><mml:mi>a</mml:mi><mml:mo>′</mml:mo></mml:msup></mml:mrow></mml:msub></mml:mrow></mml:math></inline-formula> is negative in all five subbasins. The larger the negative <inline-formula><mml:math id="M584" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">λ</mml:mi><mml:mrow><mml:msup><mml:mi>a</mml:mi><mml:mo>′</mml:mo></mml:msup></mml:mrow></mml:msub></mml:mrow></mml:math></inline-formula> is, the larger the positive <inline-formula><mml:math id="M585" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">λ</mml:mi><mml:mi>b</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> would be in the recent warmer period, particularly in the glaciated
subbasin of YBJ (<inline-formula><mml:math id="M586" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:msub><mml:mi mathvariant="italic">λ</mml:mi><mml:mrow><mml:msup><mml:mi>a</mml:mi><mml:mo>′</mml:mo></mml:msup></mml:mrow></mml:msub></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M587" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:msub><mml:mi mathvariant="italic">λ</mml:mi><mml:mi>b</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> in Table 4). Thus, the increase in storage in a warmer climate will
correspondingly enhance the nonlinearity of recession (<inline-formula><mml:math id="M588" display="inline"><mml:mi>b</mml:mi></mml:math></inline-formula>) and streamflow stability [<inline-formula><mml:math id="M589" display="inline"><mml:mrow><mml:mtext>log</mml:mtext><mml:mo>(</mml:mo><mml:mi>a</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>] in the YRB, as indicated in Eq. (<xref ref-type="disp-formula" rid="Ch1.E13"/>). This sensitivity can be weakened, however, by an anthropogenic effect (reservoir regulations), as suggested by the less sensitive result of the recession parameters of <inline-formula><mml:math id="M590" display="inline"><mml:mrow><mml:msup><mml:mi>a</mml:mi><mml:mo>′</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M591" display="inline"><mml:mi>b</mml:mi></mml:math></inline-formula> to <inline-formula><mml:math id="M592" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>S</mml:mi></mml:mrow></mml:math></inline-formula> in LS subbasin.</p>
      <p id="d1e9697">Effects of climate warming on the change in the storage and streamflow recession characteristics can be further shown by the storage change <inline-formula><mml:math id="M593" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>S</mml:mi></mml:mrow></mml:math></inline-formula> in response to changes in <inline-formula><mml:math id="M594" display="inline"><mml:mi>T</mml:mi></mml:math></inline-formula> and <inline-formula><mml:math id="M595" display="inline"><mml:mi>Q</mml:mi></mml:math></inline-formula> (<inline-formula><mml:math id="M596" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>T</mml:mi></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M597" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>Q</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> using Eq. (<xref ref-type="disp-formula" rid="Ch1.E16"/>). The values of <inline-formula><mml:math id="M598" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">λ</mml:mi><mml:mi>T</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> in Table 4 show an increase in the recent period in all subbasins, especially in YBJ and YC. Thus, the enlarged storage is largely attributed to climate warming. As expected, <inline-formula><mml:math id="M599" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">λ</mml:mi><mml:mi>T</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> is smaller in the subbasin LS with its reservoir regulation. The values of <inline-formula><mml:math id="M600" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">λ</mml:mi><mml:mi>Q</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> in Table 4 also become bigger in the recent warmer period in all subbasins. These changes indicate that climate warming increases storage and discharge.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F9" specific-use="star"><?xmltex \currentcnt{9}?><?xmltex \def\figurename{Figure}?><label>Figure 9</label><caption><p id="d1e9784">Changes in storage <inline-formula><mml:math id="M601" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>S</mml:mi></mml:mrow></mml:math></inline-formula> in relation to changes in discharge <inline-formula><mml:math id="M602" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>Q</mml:mi></mml:mrow></mml:math></inline-formula> under different changes in temperature <inline-formula><mml:math id="M603" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>T</mml:mi></mml:mrow></mml:math></inline-formula> for each subbasin. The changes in temperature <inline-formula><mml:math id="M604" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>T</mml:mi></mml:mrow></mml:math></inline-formula> refer to the annual values relative to mean annual temperature in the recession period during 1980–2015. The solid circle refers the point of <inline-formula><mml:math id="M605" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>S</mml:mi></mml:mrow></mml:math></inline-formula> in response to 0.2 <inline-formula><mml:math id="M606" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">mm</mml:mi></mml:mrow></mml:math></inline-formula> of <inline-formula><mml:math id="M607" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>Q</mml:mi></mml:mrow></mml:math></inline-formula>.</p></caption>
          <?xmltex \igopts{width=398.338583pt}?><graphic xlink:href="https://hess.copernicus.org/articles/26/3901/2022/hess-26-3901-2022-f09.png"/>

        </fig>

      <p id="d1e9863">However, the increase in discharge <inline-formula><mml:math id="M608" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>Q</mml:mi></mml:mrow></mml:math></inline-formula> in response to the increase in storage <inline-formula><mml:math id="M609" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>S</mml:mi></mml:mrow></mml:math></inline-formula> can be quite different in response to the different rate
of change in temperature <inline-formula><mml:math id="M610" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>T</mml:mi></mml:mrow></mml:math></inline-formula> in the five subbasins. According to Eq. (<xref ref-type="disp-formula" rid="Ch1.E16"/>), the relationship between <inline-formula><mml:math id="M611" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>S</mml:mi></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M612" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>Q</mml:mi></mml:mrow></mml:math></inline-formula> for
different <inline-formula><mml:math id="M613" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>T</mml:mi></mml:mrow></mml:math></inline-formula> in the five subbasins is shown in Fig. 9. As the temperature rises, <inline-formula><mml:math id="M614" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>S</mml:mi></mml:mrow></mml:math></inline-formula> becomes greater, while the greater increase in
storage volume (in thawing soil layers) allows a smaller amount of water to be released as baseflow. For example, as the mean annual temperature rises
by 1.2 <inline-formula><mml:math id="M615" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup><mml:mi mathvariant="normal">C</mml:mi></mml:mrow></mml:math></inline-formula> (<inline-formula><mml:math id="M616" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>T</mml:mi></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M617" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 1.2 <inline-formula><mml:math id="M618" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup><mml:mi mathvariant="normal">C</mml:mi></mml:mrow></mml:math></inline-formula>), the increase in discharge (<inline-formula><mml:math id="M619" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>Q</mml:mi></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M620" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula>  0.2 <inline-formula><mml:math id="M621" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">mm</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">d</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>) corresponds
to a storage increase of about 92 <inline-formula><mml:math id="M622" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">mm</mml:mi></mml:mrow></mml:math></inline-formula> in NGS, 160 <inline-formula><mml:math id="M623" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">mm</mml:mi></mml:mrow></mml:math></inline-formula> in YC, 63 <inline-formula><mml:math id="M624" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">mm</mml:mi></mml:mrow></mml:math></inline-formula> in NX, 42 <inline-formula><mml:math id="M625" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">mm</mml:mi></mml:mrow></mml:math></inline-formula> in LS, and a huge increase of
478 <inline-formula><mml:math id="M626" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">mm</mml:mi></mml:mrow></mml:math></inline-formula> in the YBJ (see the value of the <inline-formula><mml:math id="M627" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>S</mml:mi></mml:mrow></mml:math></inline-formula> vs. <inline-formula><mml:math id="M628" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>Q</mml:mi></mml:mrow></mml:math></inline-formula> in Fig. 9). These results suggest that a larger increase in water storage
caused a smaller increase in baseflow in the glaciated subbasins, reflecting a buffering effect of freezing on streamflow dynamics.</p>
      <p id="d1e10076">When the <inline-formula><mml:math id="M629" display="inline"><mml:mrow><mml:msub><mml:mi>T</mml:mi><mml:mtext>re</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> increased from the early to the recent period, from <inline-formula><mml:math id="M630" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>7.17 to <inline-formula><mml:math id="M631" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>5.39 <inline-formula><mml:math id="M632" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup><mml:mi mathvariant="normal">C</mml:mi></mml:mrow></mml:math></inline-formula> in NGS, <inline-formula><mml:math id="M633" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>6.84 to
<inline-formula><mml:math id="M634" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>5.16 <inline-formula><mml:math id="M635" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup><mml:mi mathvariant="normal">C</mml:mi></mml:mrow></mml:math></inline-formula> in YC, <inline-formula><mml:math id="M636" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>6.54 to <inline-formula><mml:math id="M637" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>5.02 <inline-formula><mml:math id="M638" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup><mml:mi mathvariant="normal">C</mml:mi></mml:mrow></mml:math></inline-formula> in NX, <inline-formula><mml:math id="M639" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>9.20 to <inline-formula><mml:math id="M640" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>7.69 <inline-formula><mml:math id="M641" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup><mml:mi mathvariant="normal">C</mml:mi></mml:mrow></mml:math></inline-formula> in YBJ, and <inline-formula><mml:math id="M642" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>7.60 to
<inline-formula><mml:math id="M643" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>6.20 <inline-formula><mml:math id="M644" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup><mml:mi mathvariant="normal">C</mml:mi></mml:mrow></mml:math></inline-formula> in LS, the estimated water storage in terms of <inline-formula><mml:math id="M645" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">λ</mml:mi><mml:mi>T</mml:mi></mml:msub><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>T</mml:mi></mml:mrow></mml:math></inline-formula> in Eq. (<xref ref-type="disp-formula" rid="Ch1.E16"/>) increased between
15.2 and 132.6 <inline-formula><mml:math id="M646" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">mm</mml:mi></mml:mrow></mml:math></inline-formula> for the five subbasins. These increases contribute to about 86.4 %–99.9 % of the total increase in storage
(<inline-formula><mml:math id="M647" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">λ</mml:mi><mml:mi>T</mml:mi></mml:msub><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>T</mml:mi><mml:mo>/</mml:mo><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>S</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> in those subbasins. They only cause a 0.1 %–13.6 % increase in discharge in terms of
<inline-formula><mml:math id="M648" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">λ</mml:mi><mml:mi>Q</mml:mi></mml:msub><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>Q</mml:mi><mml:mo>/</mml:mo><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>S</mml:mi></mml:mrow></mml:math></inline-formula> in Eq. (<xref ref-type="disp-formula" rid="Ch1.E16"/>). This relationship varies among the five subbasins with different glaciate conditions. In the
warm and wet subbasin of NX with low glacial coverage, the increase in storage (<inline-formula><mml:math id="M649" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">λ</mml:mi><mml:mi>T</mml:mi></mml:msub><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>T</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> is relatively small (35.4 <inline-formula><mml:math id="M650" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">mm</mml:mi></mml:mrow></mml:math></inline-formula> and
86.4 % of the total increase in storage), and the increase in discharge (<inline-formula><mml:math id="M651" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">λ</mml:mi><mml:mi>Q</mml:mi></mml:msub><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>Q</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> is relatively large (5.56 <inline-formula><mml:math id="M652" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">mm</mml:mi></mml:mrow></mml:math></inline-formula> and
13.6 % of the total increase in storage). In the cold subbasins with high glacial coverage, climate warming causes a large increase in storage but a
small increase in discharge. As an example, the YBJ subbasin has 97.3 % of the total increase in storage vs. only 2.7 % of the total increase
in discharge. Again, this relationship is distorted in basins with human regulatory actions in water management. In the subbasin of LS, with strong
reservoir regulations, changes in both the storage and discharge are small (e.g., 0.1 % in the total increase in storage).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F10" specific-use="star"><?xmltex \currentcnt{10}?><?xmltex \def\figurename{Figure}?><label>Figure 10</label><caption><p id="d1e10347">A schematic illustration of the climate warming effect on surface conditions and the subsurface profile and hydrological variables. The larger sizes of the arrows indicate a large increase in the hydrological variables, e.g., glacier melting, precipitation, discharge, and evaporation.</p></caption>
          <?xmltex \igopts{width=341.433071pt}?><graphic xlink:href="https://hess.copernicus.org/articles/26/3901/2022/hess-26-3901-2022-f10.png"/>

        </fig>

</sec>
</sec>
<sec id="Ch1.S5">
  <label>5</label><title>Discussion</title>
      <p id="d1e10366">Observations have shown that climate warming has accelerated glacier melting and permafrost thawing in cold climate and high-altitude regions. Subsequent changes are found in vegetation growth and the thickening of talik and active soil layer thickness. These changes have altered land surface conditions and unconsolidated soil profiles and subsurface permafrost and thereby redefined the surface and groundwater exchange and balance in those regions (Fig. 10). Our case study of YRB in southern TP shows that accelerated glacier melting and permafrost thawing during 1980–2015 have substantially increased its dynamic groundwater storage, which is defined as <inline-formula><mml:math id="M653" display="inline"><mml:mrow><mml:mi>S</mml:mi><mml:mo>(</mml:mo><mml:mi>Q</mml:mi><mml:mo>)</mml:mo><mml:mo>-</mml:mo><mml:msub><mml:mi>S</mml:mi><mml:mn mathvariant="normal">0</mml:mn></mml:msub><mml:mo>=</mml:mo><mml:mo>-</mml:mo><mml:msubsup><mml:mo>∫</mml:mo><mml:mrow><mml:msub><mml:mi>Q</mml:mi><mml:mn mathvariant="normal">0</mml:mn></mml:msub></mml:mrow><mml:mi>Q</mml:mi></mml:msubsup><mml:mi mathvariant="italic">τ</mml:mi><mml:mo>(</mml:mo><mml:mi>Q</mml:mi><mml:mo>)</mml:mo><mml:mi mathvariant="normal">d</mml:mi><mml:mi>Q</mml:mi></mml:mrow></mml:math></inline-formula>. These results, with the decrease in terrestrial water storage (TWS) in the southern TP, including YRB (Wang et al., 2020) in recent decades, indicate a transformation of water storage in the region from a solid form (glacier and permafrost) to a liquid volume (soil moisture, surface water in rivers/lakes, and groundwater; Fig. 10b). According
to the water balance in a catchment, i.e.,  <inline-formula><mml:math id="M654" display="inline"><mml:mrow><mml:mi mathvariant="normal">d</mml:mi><mml:mi>S</mml:mi><mml:mo>/</mml:mo><mml:mi mathvariant="normal">d</mml:mi><mml:mi>t</mml:mi></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M655" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> <inline-formula><mml:math id="M656" display="inline"><mml:mrow><mml:msub><mml:mi>P</mml:mi><mml:mi mathvariant="normal">r</mml:mi></mml:msub><mml:mo>-</mml:mo><mml:mi>E</mml:mi><mml:mo>-</mml:mo><mml:mi>Q</mml:mi></mml:mrow></mml:math></inline-formula>, where <inline-formula><mml:math id="M657" display="inline"><mml:mi>S</mml:mi></mml:math></inline-formula> is regarded as the liquid volume (here, the change in <inline-formula><mml:math id="M658" display="inline"><mml:mi>S</mml:mi></mml:math></inline-formula> is equal to the sum of changes in soil moisture and groundwater), <inline-formula><mml:math id="M659" display="inline"><mml:mi>E</mml:mi></mml:math></inline-formula> is evapotranspiration, and <inline-formula><mml:math id="M660" display="inline"><mml:mrow><mml:msub><mml:mi>P</mml:mi><mml:mi mathvariant="normal">r</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> is the recharge from glacier melting, permafrost thawing, and precipitation, the increase in <inline-formula><mml:math id="M661" display="inline"><mml:mi>S</mml:mi></mml:math></inline-formula> infers that <inline-formula><mml:math id="M662" display="inline"><mml:mrow><mml:msub><mml:mi>P</mml:mi><mml:mi mathvariant="normal">r</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> is larger than the sum of <inline-formula><mml:math id="M663" display="inline"><mml:mi>E</mml:mi></mml:math></inline-formula> and <inline-formula><mml:math id="M664" display="inline"><mml:mi>Q</mml:mi></mml:math></inline-formula> in a study region. Because cold regions tend to have a greater coverage percentage of glacier and permafrost, glacier melting and permafrost thawing could substantially increase water storage under climate warming. Higher water storage could extend the recession period and sustain healthy annual streamflow.</p>
      <p id="d1e10526">Our study also shows that the increase in water storage and its effect on the annual recession of streamflow weakened towards the warmer downstream areas of YRB (with diminishing glacier melting and permafrost thawing effect). Accordingly, if the climate warming continues, the shrinking of the glacier and permafrost volume could eventually reach a point when there is not enough melting to recharge the liquid volume of water in YRB. From that point
onward, steady streamflow in YRB would be in danger.</p>
      <p id="d1e10529">While the processes initiated by the accelerated glacier melting and permafrost thawing extend subsurface flow paths (Hinzman et al., 2020) and the streamflow recession time (<inline-formula><mml:math id="M665" display="inline"><mml:mrow><mml:mi mathvariant="italic">τ</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>, the increase in surface temperature and <inline-formula><mml:math id="M666" display="inline"><mml:mi>E</mml:mi></mml:math></inline-formula> can also increase surface water loss. According to the discharge
relation <inline-formula><mml:math id="M667" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mi mathvariant="normal">d</mml:mi><mml:mi>Q</mml:mi><mml:mo>/</mml:mo><mml:mi mathvariant="normal">d</mml:mi><mml:mi>t</mml:mi></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M668" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> <inline-formula><mml:math id="M669" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mstyle displaystyle="false"><mml:mfrac style="text"><mml:mrow><mml:mi mathvariant="normal">d</mml:mi><mml:mi>Q</mml:mi></mml:mrow><mml:mrow><mml:mi mathvariant="normal">d</mml:mi><mml:mi>S</mml:mi></mml:mrow></mml:mfrac></mml:mstyle><mml:mstyle displaystyle="false"><mml:mfrac style="text"><mml:mrow><mml:mi mathvariant="normal">d</mml:mi><mml:mi>S</mml:mi></mml:mrow><mml:mrow><mml:mi mathvariant="normal">d</mml:mi><mml:mi>t</mml:mi></mml:mrow></mml:mfrac></mml:mstyle></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M670" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> <inline-formula><mml:math id="M671" display="inline"><mml:mrow><mml:mo>(</mml:mo><mml:mo>-</mml:mo><mml:msub><mml:mi>P</mml:mi><mml:mi mathvariant="normal">r</mml:mi></mml:msub><mml:mo>+</mml:mo><mml:mi>E</mml:mi><mml:mo>+</mml:mo><mml:mi>Q</mml:mi><mml:mo>)</mml:mo><mml:mo>/</mml:mo><mml:mi mathvariant="italic">τ</mml:mi></mml:mrow></mml:math></inline-formula>
(Kirchner, 2009), where <inline-formula><mml:math id="M672" display="inline"><mml:mrow><mml:msub><mml:mi>P</mml:mi><mml:mi mathvariant="normal">r</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> can be neglected in the recession period, a faster recession (<inline-formula><mml:math id="M673" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mi mathvariant="normal">d</mml:mi><mml:mi>Q</mml:mi><mml:mo>/</mml:mo><mml:mi mathvariant="normal">d</mml:mi><mml:mi>t</mml:mi></mml:mrow></mml:math></inline-formula>) could occur under
climate warming from a faster decrease in storage (<inline-formula><mml:math id="M674" display="inline"><mml:mrow><mml:mi mathvariant="normal">d</mml:mi><mml:mi>S</mml:mi><mml:mo>/</mml:mo><mml:mi mathvariant="normal">d</mml:mi><mml:mi>t</mml:mi></mml:mrow></mml:math></inline-formula>) due to increasing <inline-formula><mml:math id="M675" display="inline"><mml:mi>E</mml:mi></mml:math></inline-formula> (Tashie et al., 2020), and a faster response
of discharge to storage (<inline-formula><mml:math id="M676" display="inline"><mml:mrow><mml:mi mathvariant="normal">d</mml:mi><mml:mi>Q</mml:mi><mml:mo>/</mml:mo><mml:mi mathvariant="normal">d</mml:mi><mml:mi>S</mml:mi></mml:mrow></mml:math></inline-formula>) could occur due to the increase in the effective hydraulic properties (Lamontagne-Hallé et al.,
2018). This phenomenon has happened for the initial recession period of 1–2 months when temperature is relatively higher (see Fig. 4).</p>
      <p id="d1e10712">Meanwhile, the accelerated glacier melting and permafrost thawing have shortened the frost period (i.e., the prolonged <inline-formula><mml:math id="M677" display="inline"><mml:mrow><mml:msub><mml:mtext>MTD</mml:mtext><mml:mi mathvariant="normal">a</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> and
<inline-formula><mml:math id="M678" display="inline"><mml:mrow><mml:msub><mml:mtext>MTD</mml:mtext><mml:mtext>re</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> in Fig. 2j and k) and thereby increased the soil active layer thickness (ALT) for groundwater storage (Lamontagne-Hallé
et al., 2018) and lengthened subsurface flow paths (Hinzman et al., 2020) and the streamflow recession time (<inline-formula><mml:math id="M679" display="inline"><mml:mi mathvariant="italic">τ</mml:mi></mml:math></inline-formula>). These changes weaken the sensitivity of the discharge to the storage (<inline-formula><mml:math id="M680" display="inline"><mml:mrow><mml:mi mathvariant="normal">d</mml:mi><mml:mi>Q</mml:mi><mml:mo>/</mml:mo><mml:mi mathvariant="normal">d</mml:mi><mml:mi>S</mml:mi></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M681" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> <inline-formula><mml:math id="M682" display="inline"><mml:mrow><mml:mn mathvariant="normal">1</mml:mn><mml:mo>/</mml:mo><mml:mi mathvariant="italic">τ</mml:mi></mml:mrow></mml:math></inline-formula>) and slow down the recession rate (<inline-formula><mml:math id="M683" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mi mathvariant="normal">d</mml:mi><mml:mi>Q</mml:mi><mml:mo>/</mml:mo><mml:mi mathvariant="normal">d</mml:mi><mml:mi>t</mml:mi></mml:mrow></mml:math></inline-formula>), which is found in the later recession period when temperature is relatively lower (see Fig. 4). Therefore, the competing effects from the warming climate on
<inline-formula><mml:math id="M684" display="inline"><mml:mrow><mml:mi mathvariant="normal">d</mml:mi><mml:mi>S</mml:mi><mml:mo>/</mml:mo><mml:mi mathvariant="normal">d</mml:mi><mml:mi>t</mml:mi></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M685" display="inline"><mml:mrow><mml:mi mathvariant="normal">d</mml:mi><mml:mi>Q</mml:mi><mml:mo>/</mml:mo><mml:mi mathvariant="normal">d</mml:mi><mml:mi>S</mml:mi></mml:mrow></mml:math></inline-formula> in different recession phases would lead to the recession curve becoming more concave, which indicates an increase in the nonlinearity of the recession (<inline-formula><mml:math id="M686" display="inline"><mml:mi>b</mml:mi></mml:math></inline-formula>) and streamflow stability [<inline-formula><mml:math id="M687" display="inline"><mml:mrow><mml:mtext>log</mml:mtext><mml:mo>(</mml:mo><mml:mi>a</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>] in YRB. In comparison, in the warm climate area, the effect of the storage decrease (<inline-formula><mml:math id="M688" display="inline"><mml:mrow><mml:mi mathvariant="normal">d</mml:mi><mml:mi>S</mml:mi><mml:mo>/</mml:mo><mml:mi mathvariant="normal">d</mml:mi><mml:mi>t</mml:mi></mml:mrow></mml:math></inline-formula>) on the recession (<inline-formula><mml:math id="M689" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mi mathvariant="normal">d</mml:mi><mml:mi>Q</mml:mi><mml:mo>/</mml:mo><mml:mi mathvariant="normal">d</mml:mi><mml:mi>t</mml:mi></mml:mrow></mml:math></inline-formula>) strengthens, and the effect of the recession timescale (<inline-formula><mml:math id="M690" display="inline"><mml:mrow><mml:mn mathvariant="normal">1</mml:mn><mml:mo>/</mml:mo><mml:mi mathvariant="italic">τ</mml:mi></mml:mrow></mml:math></inline-formula> or <inline-formula><mml:math id="M691" display="inline"><mml:mrow><mml:mi mathvariant="normal">d</mml:mi><mml:mi>Q</mml:mi><mml:mo>/</mml:mo><mml:mi mathvariant="normal">d</mml:mi><mml:mi>S</mml:mi></mml:mrow></mml:math></inline-formula>) on the recession weakens. As shown in Fig. 9, when temperature is higher (e.g., large and positive <inline-formula><mml:math id="M692" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>T</mml:mi></mml:mrow></mml:math></inline-formula>), hydrograph recession (negative <inline-formula><mml:math id="M693" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>Q</mml:mi></mml:mrow></mml:math></inline-formula>) is faster, along with the faster decline of storage (<inline-formula><mml:math id="M694" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>S</mml:mi></mml:mrow></mml:math></inline-formula>).</p>
      <p id="d1e10946">Additionally, deep circulating groundwater through macro structures, such as north–south-oriented active tensile faults (Fig. 1b), could also affect the
baseflow and its recharge and discharge (Tan et al., 2021). According to studies using multi-tracer data (e.g., <inline-formula><mml:math id="M695" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msup><mml:mi mathvariant="normal">H</mml:mi></mml:mrow></mml:math></inline-formula>, <inline-formula><mml:math id="M696" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup><mml:mi mathvariant="normal">H</mml:mi></mml:mrow></mml:math></inline-formula>, <inline-formula><mml:math id="M697" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">18</mml:mn></mml:msup><mml:mi mathvariant="normal">O</mml:mi></mml:mrow></mml:math></inline-formula>,
and <inline-formula><mml:math id="M698" display="inline"><mml:mrow class="chem"><mml:mi mathvariant="normal">Sr</mml:mi></mml:mrow></mml:math></inline-formula>), modern meltwater is found to primarily maintain the rapid recharge of phreatic groundwater in alpine regions through faults and
fissures (Shi et al., 2021). In the middle of the YRB (i.e., NGS–YC subbasins), changes in storage sensitivity to temperature (<inline-formula><mml:math id="M699" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">λ</mml:mi><mml:mi>T</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>in Table 4) and recession timescale (<inline-formula><mml:math id="M700" display="inline"><mml:mi mathvariant="italic">τ</mml:mi></mml:math></inline-formula>) are greater than those in the upstream and downstream areas (NGS and NX subbasin, respectively). Rising temperature can greatly increase storage (Fig. 10b).</p>
      <p id="d1e11012">Finally, the anthropogenic effects from reservoir regulation can reduce the climate warming effect on these storage–discharge responses in the YRB. For
example, in the LS subbasin, operations of two reservoirs significantly reduced the sensitivity of the recession parameters <inline-formula><mml:math id="M701" display="inline"><mml:mi>a</mml:mi></mml:math></inline-formula> (<inline-formula><mml:math id="M702" display="inline"><mml:mrow><mml:msup><mml:mi>a</mml:mi><mml:mo>′</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula>)
and <inline-formula><mml:math id="M703" display="inline"><mml:mi>b</mml:mi></mml:math></inline-formula> to climate warming and increased streamflow stability [<inline-formula><mml:math id="M704" display="inline"><mml:mrow><mml:mtext>log</mml:mtext><mml:mo>(</mml:mo><mml:mi>a</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>] (Fig. 4e). It remains questionable, however, as to how this human effort in water management in YRB would be practical/beneficial after the point when the increase in water storage from glacier and permafrost melt has exhausted the solid volume of water resources in the basin following climate warming.</p>
</sec>
<sec id="Ch1.S6" sec-type="conclusions">
  <label>6</label><title>Concluding remarks</title>
      <p id="d1e11062">Climate warming accelerated after 1997 in the Tibetan Plateau, especially in its cold and high-altitude upstream areas. Since 1997, the mean annual
temperature has risen by 0.75–1.52 <inline-formula><mml:math id="M705" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup><mml:mi mathvariant="normal">C</mml:mi></mml:mrow></mml:math></inline-formula>, and the mean temperature in the annual recession period (1 October–15 February of the
following year) has risen by 1.40–1.78 <inline-formula><mml:math id="M706" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup><mml:mi mathvariant="normal">C</mml:mi></mml:mrow></mml:math></inline-formula> in the five subbasins of the YRB. The largest rise in temperature occurred in the drier and colder subbasins in the upstream YRB. The recent strong warming has accelerated glacier melting and permafrost thawing, and thereby increased annual streamflow (12.7 %–31.5 % larger than the mean value in the early period before 1997) and streamflow in the recession period
(20.9 %–25.8 % larger than before 1997) for the five subbasins, except LS where reservoir operations are active and heavily affecting the
streamflow. These processes initiated by climate warming have changed the hydrological properties of subbasins considerably and altered the recession
characteristics and the storage–discharge relationships.</p>
      <p id="d1e11089">We have found that the recession parameter <inline-formula><mml:math id="M707" display="inline"><mml:mi>a</mml:mi></mml:math></inline-formula> (<inline-formula><mml:math id="M708" display="inline"><mml:mrow><mml:msup><mml:mi>a</mml:mi><mml:mo>′</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula>) that characterizes the stability of streamflow has decreased exponentially in the
subbasins, except for LS. Meanwhile, the parameter <inline-formula><mml:math id="M709" display="inline"><mml:mi>b</mml:mi></mml:math></inline-formula> that describes the nonlinearity of the recession to discharge has increased exponentially in all
the subbasins. These results indicate that climate warming increases the nonlinearity of the recessions and enhances streamflow stability in most of
the subbasins in YRB. Our sensitivity analysis further shows the decrease in the sensitivity of discharge/streamflow to storage under the warming
climate. Currently, the accelerated glacier melting and permafrost thawing have recharged the system, deepening the active subsurface zone and
increasing groundwater storage. Only a small fraction of the enlarged storage is released in surface streams because the increase in active water
layer lengthens subsurface flow paths. These changes have also increased the recession timescale and retarded the recession in the later period,
particularly in high-altitude cold climate areas. In the relatively warm climate areas downstream of the YRB, the effect of these changes is minor.</p>
      <p id="d1e11117">As the liquid water storage has increased greatly from melting glaciers and thawing permafrost in the YRB in the recent warming climate, the fast erosion
of the solid water storage has weakened its buffering effect of the streamflow, which is becoming less stable and more vulnerable to individual intense precipitation events, such as increase in the recession rate in the initial period found in this study. There are the following two potential consequences from these changes: one is the increase in flash flooding in the trend of rising precipitation in the high-altitude subbasins where more land is exposed after the retreat of glaciers, and the other is the extreme scenario of exhaustion of the water resources in the upstream of the YRB after the buffering effect of glacier and permafrost is lost following the continued warming of the climate.</p>
      <p id="d1e11120">While human interference with these processes, via reservoirs and regulations, can reduce and curb these impacts of climate warming on
storage–discharge relationships, recession characteristics, and streamflow in short term, as shown in the subbasin of LS, long-term strategies need to
be developed to not only cope with the short-term needs but also the sustainability of water resources in the Tibetan Plateau under the threat of the continued warming that could change the entire hydrological system in this critical water source region for the one of world's most populated nations.</p>
</sec>

      
      </body>
    <back><notes notes-type="codedataavailability"><title>Code and data availability</title>

      <p id="d1e11127">All codes and results developed in this work and presented/discussed in this paper are available upon request to the corresponding author. The sources of data used in this paper are listed in Table 1 and are accessible via their websites.</p>
  </notes><notes notes-type="authorcontribution"><title>Author contributions</title>

      <p id="d1e11133">JW was responsible for writing the original draft and the investigation, methodology, data curation, and visualization. XC conceptualized the project, reviewed and edited the paper, conducted the formal analysis, and acquired the funding. MG developed the methodology and curated the data. QH reviewed and edited the paper. JL curated the data and  validated the project.</p>
  </notes><notes notes-type="competinginterests"><title>Competing interests</title>

      <p id="d1e11139">The contact author has declared that none of the authors has any competing interests.</p>
  </notes><notes notes-type="disclaimer"><title>Disclaimer</title>

      <p id="d1e11145">Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.</p>
  </notes><notes notes-type="sistatement"><title>Special issue statement</title>

      <p id="d1e11151">This article is part of the special issue “Hydrological response to climatic and cryospheric changes in high-mountain regions”. It is not associated with a conference.</p>
  </notes><ack><title>Acknowledgements</title><p id="d1e11157">We thank Rupp Diffendal and the two anonymous reviewers, for their valuable comments that have led to improvements in the contents and clarity of this paper. The work presented in this paper has been supported by the National Natural Science Foundation of China (NSFC; grant nos. 91747203 and 41901029) and the Second Tibetan Plateau Scientific Expedition and Research Program (STEP; Ministry of Science and Technology, MOST; grant no. 2019QZKK0207). Qi Hu's contribution has been supported by the U.S. Department of Agriculture Cooperative Research Project (grant no. NEB-38-088).</p></ack><notes notes-type="financialsupport"><title>Financial support</title>

      <p id="d1e11162">This research has been supported by the National Natural Science Foundation of China (grant nos. 91747203 and 41901029), the U.S. Department of Agriculture (grant no. NEB-38-088), and the Second Tibetan Plateau Scientific Expedition and Research Program (grant no. 2019QZKK0207).</p>
  </notes><notes notes-type="reviewstatement"><title>Review statement</title>

      <p id="d1e11169">This paper was edited by Yue-Ping Xu and reviewed by two anonymous referees.</p>
  </notes><ref-list>
    <title>References</title>

      <ref id="bib1.bib1"><label>1</label><?label 1?><mixed-citation>Bekele, E. G. and Nicklow, J. W.: Multi-objective automatic calibration of SWAT using NSGA-II, J. Hydrol., 341, 165–176, <ext-link xlink:href="https://doi.org/10.1016/j.jhydrol.2007.05.014" ext-link-type="DOI">10.1016/j.jhydrol.2007.05.014</ext-link>, 2007.</mixed-citation></ref>
      <ref id="bib1.bib2"><label>2</label><?label 2?><mixed-citation>Bense, V. F., Kooi, H., Ferguson, G., and Read, T.: Permafrost degradation as a control on hydrogeological regime shifts in a warming climate, J. Geophys. Res.-Earth, 117, F03036, <ext-link xlink:href="https://doi.org/10.1029/2011JF002143" ext-link-type="DOI">10.1029/2011JF002143</ext-link>, 2012.</mixed-citation></ref>
      <ref id="bib1.bib3"><label>3</label><?label 3?><mixed-citation>Berghuijs, W. R., Hartmann, A., and Woods, R. A.:
Streamflow sensitivity to water storage changes across Europe, Geophys. Res. Lett., 43, 1980–1987, <ext-link xlink:href="https://doi.org/10.1002/2016GL067927" ext-link-type="DOI">10.1002/2016GL067927</ext-link>, 2016.</mixed-citation></ref>
      <ref id="bib1.bib4"><label>4</label><?label 4?><mixed-citation>Bergner, F. and Zouhar, G.:
A new approach to the correlation between the coefficient and the exponent in the power law equation of fatigue crack growth, Int. J. Fatigue, 22, 229–230, <ext-link xlink:href="https://doi.org/10.1016/S0142-1123(99)00123-1" ext-link-type="DOI">10.1016/S0142-1123(99)00123-1</ext-link>, 2000.</mixed-citation></ref>
      <ref id="bib1.bib5"><label>5</label><?label 5?><mixed-citation>Biswal, B.:
Decorrelation is not dissociation: there is no means to entirely decouple the Brutsaert–Nieber parameters in streamflow recession analysis, Adv. Water Resour., 147, 103822, <ext-link xlink:href="https://doi.org/10.1016/j.advwatres.2020.103822" ext-link-type="DOI">10.1016/j.advwatres.2020.103822</ext-link>, 2021.</mixed-citation></ref>
      <ref id="bib1.bib6"><label>6</label><?label 6?><mixed-citation>Bring, A., Fedorova, I., Dibike, Y. B., Hinzman, L. D., Mard, J., Mernild, S. H., and Woo, M.:
Arctic terrestrial hydrology: A synthesis of processes, regional effects, and research challenges, J. Geophysi. Res.-Biogeo., 121, 621–649, <ext-link xlink:href="https://doi.org/10.1002/2015JG003131" ext-link-type="DOI">10.1002/2015JG003131</ext-link>, 2016.</mixed-citation></ref>
      <ref id="bib1.bib7"><label>7</label><?label 7?><mixed-citation>Brooks, P., Chorover, J., Fan, Y., Godsey, S. E., Maxwell, R. M., McNamara, J., and Tague, C.:
Hydrological partitioning in the critical zone: Recent advances and opportunities for developing transferable understanding of water cycle dynamics, Water Resour. Res., 51, 6973–6987, <ext-link xlink:href="https://doi.org/10.1002/2015WR017039" ext-link-type="DOI">10.1002/2015WR017039</ext-link>, 2015.</mixed-citation></ref>
      <ref id="bib1.bib8"><label>8</label><?label 9?><mixed-citation>Brutsaert, W. and Hiyama, T.: The determination of permafrost thawing trends from long-term streamflow measurements with an application in eastern Siberia, J. Geophys. Res.-Atmos., 117, D22110, <ext-link xlink:href="https://doi.org/10.1029/2012JD018344" ext-link-type="DOI">10.1029/2012JD018344</ext-link>, 2012.</mixed-citation></ref>
      <ref id="bib1.bib9"><label>9</label><?label 8?><mixed-citation>Brutsaert, W. and Nieber, J. L.:
Regionalized drought flow hydrographs from a mature glaciated plateau, Water Resour. Res., 13, 637–643, <ext-link xlink:href="https://doi.org/10.1029/WR013i003p00637" ext-link-type="DOI">10.1029/WR013i003p00637</ext-link>, 1977.</mixed-citation></ref>
      <ref id="bib1.bib10"><label>10</label><?label 10?><mixed-citation>Burt, T. P. and Williams, P. J.:
Hydraulic conductivity in frozen soils, Earth Surface Processes, 9, 411–416, <ext-link xlink:href="https://doi.org/10.1002/esp.3290010404" ext-link-type="DOI">10.1002/esp.3290010404</ext-link>, 1976.</mixed-citation></ref>
      <ref id="bib1.bib11"><label>11</label><?label 11?><mixed-citation>Buttle, J. M.:
Mediating stream baseflow response to climate change: The role of basin storage, Hydrol. Process., 32, 363–378, <ext-link xlink:href="https://doi.org/10.1002/hyp.11418" ext-link-type="DOI">10.1002/hyp.11418</ext-link>, 2018.</mixed-citation></ref>
      <ref id="bib1.bib12"><label>12</label><?label 12?><mixed-citation>
Cai, L. C., Li, Z. W., You, Y. C., and Huang, C.: Analysis of runoff changes in Lhasa River from 1956 to 2016 and the influencing factors, J. Water Resour. Water Eng., 32, 90–96, 2021.</mixed-citation></ref>
      <ref id="bib1.bib13"><label>13</label><?label 13?><mixed-citation>Carey, S. K. and Woo, M. K.:
Freezing of subarctic hillslopes, Wolf Creek Basin, Yukon, Canada, Arct. Antarct. Alp. Res., 37, 1–10, <ext-link xlink:href="https://doi.org/10.1657/1523-0430(2005)037[0001:FOSHWC]2.0.CO;2" ext-link-type="DOI">10.1657/1523-0430(2005)037[0001:FOSHWC]2.0.CO;2</ext-link>, 2005.</mixed-citation></ref>
      <ref id="bib1.bib14"><label>14</label><?label 14?><mixed-citation>Chang, X., Jin, H., He, R., Yang, S., Yu, S., Lv, L., Guo, D., Wang, S., and Kang, X.: Advances in permafrost and cold regions environments studies in the Da Xing'anling (Da Hinggan) mountains, northeastern China, J. Glaciol. Geocryol., 30, 176–82, <ext-link xlink:href="https://doi.org/10.1007/s11442-008-0201-7" ext-link-type="DOI">10.1007/s11442-008-0201-7</ext-link>, 2008.</mixed-citation></ref>
      <ref id="bib1.bib15"><label>15</label><?label 16?><mixed-citation>Cuo, L., Zhang, Y. X., Zhu, F. X., and Liang, L. Q.:
Characteristics and changes of streamflow on the Tibetan Plateau: A review, J. Hydrol., 2, 49–68, <ext-link xlink:href="https://doi.org/10.1016/j.ejrh.2014.08.004" ext-link-type="DOI">10.1016/j.ejrh.2014.08.004</ext-link>, 2014.</mixed-citation></ref>
      <ref id="bib1.bib16"><label>16</label><?label 18?><mixed-citation>Dralle, D., Karst, N., and Thompson, S. E.:
a, b careful: The challenge of scale invariance for comparative analyses in power law models of the streamflow recession, Geophys. Res. Lett., 42, 9285–9293, <ext-link xlink:href="https://doi.org/10.1002/2015GL066007" ext-link-type="DOI">10.1002/2015GL066007</ext-link>, 2015.</mixed-citation></ref>
      <ref id="bib1.bib17"><label>17</label><?label 17?><mixed-citation>Dralle, D. N., Karst, N. J., Charalampous, K., Veenstra, A., and Thompson, S. E.:
Event-scale power law recession analysis: quantifying methodological uncertainty, Hydrol. Earth Syst. Sci., 21, 65–81, <ext-link xlink:href="https://doi.org/10.5194/hess-21-65-2017" ext-link-type="DOI">10.5194/hess-21-65-2017</ext-link>, 2017.</mixed-citation></ref>
      <ref id="bib1.bib18"><label>18</label><?label 19?><mixed-citation>Forster, R. R., Box, J. E., van den Broeke, M. R., Miège, C., Burgess, E. W., van Angelen, J. H., Lenaerts, J. T. M., Koenig, L. S., Paden, J., Lewis, C., Gogineni, S. P., Leuschen, C., and McConnell, J. R.: Extensive liquid meltwater storage in firn within the Greenland ice sheet, Nat. Geosci., 7, 95–98, <ext-link xlink:href="https://doi.org/10.1038/ngeo2043" ext-link-type="DOI">10.1038/ngeo2043</ext-link>, 2014.</mixed-citation></ref>
      <ref id="bib1.bib19"><label>19</label><?label 21?><mixed-citation>Harman, C. J., Sivapalan, M., and Kumar, P.:
Power law catchment-scale recessions arising from heterogeneous linear small-scale dynamics, Water Resour. Res., 45, W12601, <ext-link xlink:href="https://doi.org/10.1029/2008WR007392" ext-link-type="DOI">10.1029/2008WR007392</ext-link>, 2009.</mixed-citation></ref>
      <ref id="bib1.bib20"><label>20</label><?label 22?><mixed-citation>Hayashi, M.:
Alpine Hydrogeology: The Critical Role of Groundwater in Sourcing the Headwaters of the World, Groundwater, 58, 498–510, <ext-link xlink:href="https://doi.org/10.1111/gwat.12965" ext-link-type="DOI">10.1111/gwat.12965</ext-link>, 2020.</mixed-citation></ref>
      <ref id="bib1.bib21"><label>21</label><?label 23?><mixed-citation>He, J., Yang, K., Tang, W., Lu, H., Qin, J., Chen, Y., and Li, X.:
The first high-resolution meteorological forcing dataset for land process studies over China, Scientific Data, 7, 25, <ext-link xlink:href="https://doi.org/10.1038/s41597-020-0369-y" ext-link-type="DOI">10.1038/s41597-020-0369-y</ext-link>, 2020.</mixed-citation></ref>
      <ref id="bib1.bib22"><label>22</label><?label 24?><mixed-citation>Hinzman, A. M., Lyon, S. W., Ploum, S. W., Sjoberg, Y., van der Velde, Y.:
Increasing non-linearity of the storage-discharge relationship in sub-Arctic catchments, Hydrol. Process., 34, 3894–3909, <ext-link xlink:href="https://doi.org/10.1002/hyp.13860" ext-link-type="DOI">10.1002/hyp.13860</ext-link>, 2020.</mixed-citation></ref>
      <ref id="bib1.bib23"><label>23</label><?label 25?><mixed-citation>Ji, F., Fan, L., Andrews, C. B., Yao, Y., and Zheng, C.:
Dynamics of seasonally frozen ground in the Yarlung Zangbo River Basin on the Qinghai-Tibet Plateau: historical trend and future projection, Environ. Res. Lett., 15, 104081, <ext-link xlink:href="https://doi.org/10.1088/1748-9326/abb731" ext-link-type="DOI">10.1088/1748-9326/abb731</ext-link>, 2020.</mixed-citation></ref>
      <ref id="bib1.bib24"><label>24</label><?label 26?><mixed-citation>Juen, I., Kaser, G., and Georges, C.:
Modelling observed and future runoff from a glacierized tropical catchment (Cordillera Blanca, Peru), Global Planet. Change, 59, 37–48, <ext-link xlink:href="https://doi.org/10.1016/j.gloplacha.2006.11.038" ext-link-type="DOI">10.1016/j.gloplacha.2006.11.038</ext-link>, 2007.</mixed-citation></ref>
      <ref id="bib1.bib25"><label>25</label><?label 27?><mixed-citation>
Kendall, M. G.:
Rank Correlation Methods, 4th edn., Charles Griffin, London, 1975.</mixed-citation></ref>
      <ref id="bib1.bib26"><label>26</label><?label 28?><mixed-citation>Kirchner, J. W.:
Catchments as simple dynamical systems: catchment characterization, rainfall-runoff modeling, and doing hydrology backward, Water Resour. Res., 45, W02429, <ext-link xlink:href="https://doi.org/10.1029/2008WR006912" ext-link-type="DOI">10.1029/2008WR006912</ext-link>, 2009.</mixed-citation></ref>
      <ref id="bib1.bib27"><label>27</label><?label 29?><mixed-citation>Koch, J. C., Kikuchi, C. P., Wickland, K. P., and Schuster, P.:
Runoff sources and flow paths in a partially burned, upland boreal catchment underlain by permafrost, Water Resour. Res., 50, 8141–8158. <ext-link xlink:href="https://doi.org/10.1002/2014WR015586" ext-link-type="DOI">10.1002/2014WR015586</ext-link>, 2014.</mixed-citation></ref>
      <ref id="bib1.bib28"><label>28</label><?label 30?><mixed-citation>Lamontagne-Hallé, P., McKenzie, J. M., Kurylyk, B. L., and Zipper, S. C.:
Changing groundwater discharge dynamics in permafrost regions, Environ. Res. Lett., 13, 084017, <ext-link xlink:href="https://doi.org/10.1088/1748-9326/aad404" ext-link-type="DOI">10.1088/1748-9326/aad404</ext-link>, 2018.</mixed-citation></ref>
      <ref id="bib1.bib29"><label>29</label><?label 31?><mixed-citation>Li, Z. J., Li, Z. X., Song, L. L., Ma, J. Z., and Song Y.:
Environment significance and hydrochemical characteristics of suprapermafrost water in the source region of the Yangtze River, Sci. Total Environ., 644, 1141–1151, <ext-link xlink:href="https://doi.org/10.1016/j.scitotenv.2018.07.029" ext-link-type="DOI">10.1016/j.scitotenv.2018.07.029</ext-link>, 2018.</mixed-citation></ref>
      <ref id="bib1.bib30"><label>30</label><?label 32?><mixed-citation>Lin, L., Gao, M., Liu, J., Wang, J., Wang, S., Chen, X., and Liu, H.:
Understanding the effects of climate warming on streamflow and active groundwater storage in an alpine catchment: the upper Lhasa River, Hydrol. Earth Syst. Sci., 24, 1145–1157, <ext-link xlink:href="https://doi.org/10.5194/hess-24-1145-2020" ext-link-type="DOI">10.5194/hess-24-1145-2020</ext-link>, 2020.</mixed-citation></ref>
      <ref id="bib1.bib31"><label>31</label><?label 33?><mixed-citation>
Liu, J. P. and Zhang, W. C.:
Spatial variability in degree-day f actors in Yarlung Zangpo River Basin, China, Journal of University of Chinese Academy of Sciences, 35, 704–711. 2018.</mixed-citation></ref>
      <ref id="bib1.bib32"><label>32</label><?label 34?><mixed-citation>Liu, Z., Yao, Z., Huang, H., Wu, S., and Liu, G.:
Land use and climate changes and their impacts on Runoff in the Yarlung Zangpo River Basin, China, Land Degrad. Dev., 25, 203–215, <ext-link xlink:href="https://doi.org/10.1002/ldr.1159" ext-link-type="DOI">10.1002/ldr.1159</ext-link>, 2014.</mixed-citation></ref>
      <ref id="bib1.bib33"><label>33</label><?label 35?><mixed-citation>Lyon, S. W. and Destouni, G.:
Changes in catchment-scale recession flow properties in response to permafrost thawing in the Yukon River basin, Int. J. Climatol., 30, 2138–2145, <ext-link xlink:href="https://doi.org/10.1002/joc.1993" ext-link-type="DOI">10.1002/joc.1993</ext-link>, 2010.</mixed-citation></ref>
      <ref id="bib1.bib34"><label>34</label><?label 36?><mixed-citation>Lyon, S. W., Destouni, G., Giesler, R., Humborg, C., Mörth, M., Seibert, J., Karlsson, J., and Troch, P. A.:
Estimation of permafrost thawing rates in a sub-arctic catchment using recession flow analysis, Hydrol. Earth Syst. Sci., 13, 595–604, <ext-link xlink:href="https://doi.org/10.5194/hess-13-595-2009" ext-link-type="DOI">10.5194/hess-13-595-2009</ext-link>, 2009.</mixed-citation></ref>
      <ref id="bib1.bib35"><label>35</label><?label 37?><mixed-citation>Mallakpour, I. and Villarini, G.: A simulation study to examine the sensitivity of the Pettitt test to detect abrupt changes in mean, International Association of Scientific Hydrology Bulletin, 61, 245–254, <ext-link xlink:href="https://doi.org/10.1080/02626667.2015.1008482" ext-link-type="DOI">10.1080/02626667.2015.1008482</ext-link>, 2016.</mixed-citation></ref>
      <ref id="bib1.bib36"><label>36</label><?label 38?><mixed-citation>Mann, H.:
Non-parametric test against trend, Econometrical, 13, 245–259, <ext-link xlink:href="https://doi.org/10.2307/1907187" ext-link-type="DOI">10.2307/1907187</ext-link>, 1945.</mixed-citation></ref>
      <ref id="bib1.bib37"><label>37</label><?label 39?><mixed-citation>
Mao, T. and Wang, G.: Analysis on characteristics of low-flow based on the monthly runoff recession coefficient in the Three-river headwaters region, Resources and environment in the Yangtze basin, Resour. Environ. Yangtze Basin, 25, 1150–1157, 2016.</mixed-citation></ref>
      <ref id="bib1.bib38"><label>38</label><?label 40?><mixed-citation>Niu, F. J., Gao, Z. Y., Lin, Z. J., Luo, J., and Fan, X. W.: Vegetation influence on the soil hydrological regime in permafrost regions of the Qinghai–Tibet Plateau, China, Geoderma, 354, 113892, <ext-link xlink:href="https://doi.org/10.1016/j.geoderma.2019.113892" ext-link-type="DOI">10.1016/j.geoderma.2019.113892</ext-link>, 2019.</mixed-citation></ref>
      <ref id="bib1.bib39"><label>39</label><?label 41?><mixed-citation>Payn, R. A., Gooseff, M. N., McGlynn, B. L., Bencala, K. E., and Wondzell, S. M.:
Exploring changes in the spatial distribution of stream baseflow generation during a seasonal recession, Water Resour. Res., 48, 519, <ext-link xlink:href="https://doi.org/10.1029/2011WR011552" ext-link-type="DOI">10.1029/2011WR011552</ext-link>, 2012.</mixed-citation></ref>
      <ref id="bib1.bib40"><label>40</label><?label 42?><mixed-citation>Pepin, N., Bradley, R. S., Diaz, H. F., Baraer, M., Caceres, E. B., Forsythe, N., Fowler, H., Greenwood, G., Hashmi, M., Liu, X. D.,  Miller, J. R., Ning, L., Ohmura, A., Palazzi, E., Rangwala, I., Schöner, W., Severskiy, I., Shahgedanova, M., Wang, M. B., Williamson, S. N., and Yang, D. Q.: Elevation dependent warming in mountain regions of the world, Nat. Clim. Change, 5, 424–430, <ext-link xlink:href="https://doi.org/10.1038/nclimate2563" ext-link-type="DOI">10.1038/nclimate2563</ext-link>, 2015.</mixed-citation></ref>
      <ref id="bib1.bib41"><label>41</label><?label 43?><mixed-citation>Pettitt, A. N.:
A non-parametric approach to the change-point problem, J. R. Stat. Soc., 28, 126–135, <ext-link xlink:href="https://doi.org/10.2307/2346729" ext-link-type="DOI">10.2307/2346729</ext-link>, 1979.</mixed-citation></ref>
      <ref id="bib1.bib42"><label>42</label><?label 44?><mixed-citation>Ren, W., Yao, T., and Xie, S.:
Stable isotopic composition reveals the spatial and temporal dynamics of discharge in the large river of Yarlungzangbo in the Tibetan Plateau, Sci. Total Environ., 625, 373–381, <ext-link xlink:href="https://doi.org/10.1016/j.scitotenv.2017.12.310" ext-link-type="DOI">10.1016/j.scitotenv.2017.12.310</ext-link>, 2018.</mixed-citation></ref>
      <ref id="bib1.bib43"><label>43</label><?label 45?><mixed-citation>Sen, P. K.:
Estimates of the regression coefficient based on Kendall's tau, J. Am. Stat. Assoc., 63, 1379–1389, <ext-link xlink:href="https://doi.org/10.1080/01621459.1968.10480934" ext-link-type="DOI">10.1080/01621459.1968.10480934</ext-link>, 1968.</mixed-citation></ref>
      <ref id="bib1.bib44"><label>44</label><?label 46?><mixed-citation>Shi, D., Tan, H., Chen, X., Rao, W., and Renci, B.: Uncovering the mechanisms of seasonal river–groundwater circulation using isotopes and water chemistry in the middle reaches of the Yarlungzangbo River, Tibet, J. Hydrol., 603, 127010, <ext-link xlink:href="https://doi.org/10.1016/j.jhydrol.2021.127010" ext-link-type="DOI">10.1016/j.jhydrol.2021.127010</ext-link>, 2021.</mixed-citation></ref>
      <ref id="bib1.bib45"><label>45</label><?label 47?><mixed-citation>Su, F., Zhang, L., Ou, T., Chen, D., Yao, T., Tong, K., and Qi, Y.:
Hydrological response to future climate changes for the major upstream river basins in the Tibetan Plateau, Global Planet. Change, 136, 82–95, <ext-link xlink:href="https://doi.org/10.1016/j.gloplacha.2015.10.012" ext-link-type="DOI">10.1016/j.gloplacha.2015.10.012</ext-link>, 2015.</mixed-citation></ref>
      <ref id="bib1.bib46"><label>46</label><?label 48?><mixed-citation>Tallaksen, L. M.:
A review of baseflow recession analysis, J. Hydrol., 165, 349–370, <ext-link xlink:href="https://doi.org/10.1016/0022-1694(94)02540-R" ext-link-type="DOI">10.1016/0022-1694(94)02540-R</ext-link>, 1995.</mixed-citation></ref>
      <ref id="bib1.bib47"><label>47</label><?label 49?><mixed-citation>Tan, H., Chen, X., Shi, D., Rao, W., Liu, J., Liu, J., Eastoe, C. J., and Wang, J.: Base flow in the Yarlungzangbo River, Tibet, maintained by the isotopically-depleted precipitation and groundwater discharge, Sci. Total Environ., 759, 143510, <ext-link xlink:href="https://doi.org/10.1016/j.scitotenv.2020.143510" ext-link-type="DOI">10.1016/j.scitotenv.2020.143510</ext-link>, 2021.</mixed-citation></ref>
      <ref id="bib1.bib48"><label>48</label><?label 51?><mixed-citation>Tashie, A., Pavelsky, T., and Emanuel, R. E.: Spatial and temporal patterns in baseflow recession in the continental United States, Water Resour. Res., 56, e2019WR026425, <ext-link xlink:href="https://doi.org/10.1029/2019WR026425" ext-link-type="DOI">10.1029/2019WR026425</ext-link>, 2020.</mixed-citation></ref>
      <ref id="bib1.bib49"><label>49</label><?label 50?><mixed-citation>Tashie, A. M., Scaife, C. I., and Band, L. E.:
Transpiration and subsurface controls on streamflow recession characteristics, Hydrol. Process., 33, 2561–2575, <ext-link xlink:href="https://doi.org/10.1002/hyp.13530" ext-link-type="DOI">10.1002/hyp.13530</ext-link>, 2019.</mixed-citation></ref>
      <ref id="bib1.bib50"><label>50</label><?label 52?><mixed-citation>Tian, F., Xu, R., Nan, Y., Li, K., and He, Z.:
Quantification of runoff components in the Yarlung Tsangpo River using a distributed hydrological model, Advances in Water Science, 31, 324–336, <ext-link xlink:href="https://doi.org/10.14042/j.cnki.32.1309.2020.03.002" ext-link-type="DOI">10.14042/j.cnki.32.1309.2020.03.002</ext-link>, 2020 (in Chinese).</mixed-citation></ref>
      <ref id="bib1.bib51"><label>51</label><?label 53?><mixed-citation>Vuille, M., Kaser, G., and Juen, I.:
Glacier mass balance variability in the Cordillera Blanca, Peru and its relationship with climate and the large-scale circulation, Global Planet. Change, 62, 14–28, <ext-link xlink:href="https://doi.org/10.1016/j.gloplacha.2007.11.003" ext-link-type="DOI">10.1016/j.gloplacha.2007.11.003</ext-link>, 2008.</mixed-citation></ref>
      <ref id="bib1.bib52"><label>52</label><?label 54?><mixed-citation>Walvoord, M. A. and Kurylyk, B. L.:
Hydrologic impacts of thawing permafrost – A review, Vadose Zone J., 15, 1–20, <ext-link xlink:href="https://doi.org/10.2136/vzj2016.01.0010" ext-link-type="DOI">10.2136/vzj2016.01.0010</ext-link>, 2016.</mixed-citation></ref>
      <ref id="bib1.bib53"><label>53</label><?label 55?><mixed-citation>Walvoord, M. A. and Striegl, R. G.:
Increased groundwater to stream discharge from permafrost thawing in the Yukon River basin: Potential impacts on lateral export of carbon and nitrogen, Geophys. Res. Lett., 34, 123–134, <ext-link xlink:href="https://doi.org/10.1029/2007GL030216" ext-link-type="DOI">10.1029/2007GL030216</ext-link>, 2007.</mixed-citation></ref>
      <ref id="bib1.bib54"><label>54</label><?label 56?><mixed-citation>Walvoord, M. A., Voss, C. I., and Wellman, T. P.:
Influence of permafrost distribution on groundwater flow in the context of climate-driven permafrost thaw: Example from Yukon Flats Basin, Alaska, USA, Water Resour. Res., 48, 524, <ext-link xlink:href="https://doi.org/10.1029/2011WR011595" ext-link-type="DOI">10.1029/2011WR011595</ext-link>, 2012.</mixed-citation></ref>
      <ref id="bib1.bib55"><label>55</label><?label 57?><mixed-citation>Wang, J., Chen, X., Hu, Q., and Liu, J.: Responses of terrestrial water storage to climate variation in the Tibetan Plateau, J. Hydrol., 584, 124652, <ext-link xlink:href="https://doi.org/10.1016/j.jhydrol.2020.124652" ext-link-type="DOI">10.1016/j.jhydrol.2020.124652</ext-link>, 2020.</mixed-citation></ref>
      <ref id="bib1.bib56"><label>56</label><?label 58?><mixed-citation>Wang, J., Chen, X., Liu, J., and Hu, Q.: Changes of precipitation-runoff relationship induced by climate variation in a large glaciated basin of the Tibetan Plateau, J. Geophys. Res.-Atmos., 126, e2020JD034367, <ext-link xlink:href="https://doi.org/10.1029/2020JD034367" ext-link-type="DOI">10.1029/2020JD034367</ext-link>, 2021.</mixed-citation></ref>
      <ref id="bib1.bib57"><label>57</label><?label 59?><mixed-citation>Wang, Y. H., Yang, H. B., Gao, B., Wang, T. H., Qin, Y., and Yang, D. W.:
Frozen ground degradation may reduce future runoff in the headwaters of an inland river on the northeastern Tibetan Plateau, J. Hydrol., 564, 1153–1164, <ext-link xlink:href="https://doi.org/10.1016/j.jhydrol.2018.07.078" ext-link-type="DOI">10.1016/j.jhydrol.2018.07.078</ext-link>, 2018.</mixed-citation></ref>
      <ref id="bib1.bib58"><label>58</label><?label 60?><mixed-citation>Wright, N., Hayashi, M., and Quinton, W. L.: Spatial and temporal variations in active layer thawing and their implication on run-off generation in peat-covered permafrost terrain, Water Resour. Res., 45, W05414, <ext-link xlink:href="https://doi.org/10.1029/2008WR006880" ext-link-type="DOI">10.1029/2008WR006880</ext-link>, 2009.
</mixed-citation></ref><?xmltex \hack{\newpage}?>
      <ref id="bib1.bib59"><label>59</label><?label 61?><mixed-citation>
Xu, X., Wu, Q., and Zhang, Z.: Responses of active layer thickness on the Qinghai Tibet Plateau to climate change, Journal of Glaciology and Geocryology, 39, 1–8, 2017.</mixed-citation></ref>
      <ref id="bib1.bib60"><label>60</label><?label 62?><mixed-citation>Yamazaki, Y., Kubota, J., Ohata, T., Vuglinsky, V., and Mizuyama, T.:
Seasonal changes in runoff characteristics on a permafrost watershed in the southern mountainous regions of eastern Siberia, Hydrol. Process., 20, 453–467, <ext-link xlink:href="https://doi.org/10.1002/hyp.5914" ext-link-type="DOI">10.1002/hyp.5914</ext-link>, 2006.</mixed-citation></ref>
      <ref id="bib1.bib61"><label>61</label><?label 63?><mixed-citation>Yang, K., and He, J.:
China meteorological forcing dataset (1979–2018), National Tibetan Plateau Data Center [data set], <ext-link xlink:href="https://doi.org/10.11888/AtmosphericPhysics.tpe.249369.file" ext-link-type="DOI">10.11888/AtmosphericPhysics.tpe.249369.file</ext-link>, 2019.</mixed-citation></ref>
      <ref id="bib1.bib62"><label>62</label><?label 65?><mixed-citation>Yao, T. D., Wang, Y. Q., Liu, S. Y., Pu, J. C., Shen, Y. P., and Lu, A. X.:
Recent glacial retreat in high Asia in China and its impact on water resource in northwest China, Sci. China Ser. D, 47, 1065–1075, <ext-link xlink:href="https://doi.org/10.1360/03yd0256" ext-link-type="DOI">10.1360/03yd0256</ext-link>, 2004.</mixed-citation></ref>
      <ref id="bib1.bib63"><label>63</label><?label 64?><mixed-citation>Yao, T., Pu, J., Lu, A., Wang, Y., and Yu, W.: Recent glacial retreat and its impact on hydrological processes on the Tibetan Plateau, China, and surrounding regions, Arct. Antarct. Alp. Res., 39, 642–650,
<ext-link xlink:href="https://doi.org/10.1657/1523-0430(07-510)[YAO]2.0.CO;2" ext-link-type="DOI">10.1657/1523-0430(07-510)[YAO]2.0.CO;2</ext-link>, 2007.</mixed-citation></ref>
      <ref id="bib1.bib64"><label>64</label><?label 66?><mixed-citation>Yao, Y., Zheng, C., Andrews, C. B., Scanlon, B. R., Kuang, X., Zeng, Z., Jeong, S.-J., Lancia, M., Wu, Y., Li, G.:
Role of groundwater in sustaining northern Himalayan rivers, Geophys. Res. Lett., 48, e2020GL092354, <ext-link xlink:href="https://doi.org/10.1029/2020GL092354" ext-link-type="DOI">10.1029/2020GL092354</ext-link>, 2021.</mixed-citation></ref>
      <ref id="bib1.bib65"><label>65</label><?label 67?><mixed-citation>Yi, W., Feng, Y., Liang, S., Kuang, X., Yan, D., and Wan, L.: Increasing annual streamflow and groundwater storage in response to climate warming in the Yangtze river source region, Environ. Res. Lett., 16, 084011, <ext-link xlink:href="https://doi.org/10.1088/1748-9326/ac0f27" ext-link-type="DOI">10.1088/1748-9326/ac0f27</ext-link>, 2021.</mixed-citation></ref>
      <ref id="bib1.bib66"><label>66</label><?label 68?><mixed-citation>Yue, S. and Wang, C. Y.: Applicability of pre-whitening to eliminate the influence of serial correlation on the Mann–Kendall test, Water Resour. Res., 38, 41–47, <ext-link xlink:href="https://doi.org/10.1029/2001WR000861" ext-link-type="DOI">10.1029/2001WR000861</ext-link>, 2002.</mixed-citation></ref>
      <ref id="bib1.bib67"><label>67</label><?label 69?><mixed-citation>Zhang, D., Huang, J., Guan, X., Chen, B., and Zhang, L.:
Long-term trends of perceptible water and precipitation over the Tibetan Plateau derived from satellite and surface measurements, J. Quant. Spectrosc. Ra., 122, 64–71, <ext-link xlink:href="https://doi.org/10.1016/j.jqsrt.2012.11.028" ext-link-type="DOI">10.1016/j.jqsrt.2012.11.028</ext-link>, 2013.</mixed-citation></ref>

  </ref-list></back>
    <!--<article-title-html>Changes in nonlinearity and stability of streamflow  recession characteristics under climate warming  in a large glaciated basin of the Tibetan Plateau</article-title-html>
<abstract-html/>
<ref-html id="bib1.bib1"><label>1</label><mixed-citation>
Bekele, E. G. and Nicklow, J. W.: Multi-objective automatic calibration of SWAT using NSGA-II, J. Hydrol., 341, 165–176, <a href="https://doi.org/10.1016/j.jhydrol.2007.05.014" target="_blank">https://doi.org/10.1016/j.jhydrol.2007.05.014</a>, 2007.
</mixed-citation></ref-html>
<ref-html id="bib1.bib2"><label>2</label><mixed-citation>
Bense, V. F., Kooi, H., Ferguson, G., and Read, T.: Permafrost degradation as a control on hydrogeological regime shifts in a warming climate, J. Geophys. Res.-Earth, 117, F03036, <a href="https://doi.org/10.1029/2011JF002143" target="_blank">https://doi.org/10.1029/2011JF002143</a>, 2012.
</mixed-citation></ref-html>
<ref-html id="bib1.bib3"><label>3</label><mixed-citation>
Berghuijs, W. R., Hartmann, A., and Woods, R. A.:
Streamflow sensitivity to water storage changes across Europe, Geophys. Res. Lett., 43, 1980–1987, <a href="https://doi.org/10.1002/2016GL067927" target="_blank">https://doi.org/10.1002/2016GL067927</a>, 2016.
</mixed-citation></ref-html>
<ref-html id="bib1.bib4"><label>4</label><mixed-citation>
Bergner, F. and Zouhar, G.:
A new approach to the correlation between the coefficient and the exponent in the power law equation of fatigue crack growth, Int. J. Fatigue, 22, 229–230, <a href="https://doi.org/10.1016/S0142-1123(99)00123-1" target="_blank">https://doi.org/10.1016/S0142-1123(99)00123-1</a>, 2000.
</mixed-citation></ref-html>
<ref-html id="bib1.bib5"><label>5</label><mixed-citation>
Biswal, B.:
Decorrelation is not dissociation: there is no means to entirely decouple the Brutsaert–Nieber parameters in streamflow recession analysis, Adv. Water Resour., 147, 103822, <a href="https://doi.org/10.1016/j.advwatres.2020.103822" target="_blank">https://doi.org/10.1016/j.advwatres.2020.103822</a>, 2021.
</mixed-citation></ref-html>
<ref-html id="bib1.bib6"><label>6</label><mixed-citation>
Bring, A., Fedorova, I., Dibike, Y. B., Hinzman, L. D., Mard, J., Mernild, S. H., and Woo, M.:
Arctic terrestrial hydrology: A synthesis of processes, regional effects, and research challenges, J. Geophysi. Res.-Biogeo., 121, 621–649, <a href="https://doi.org/10.1002/2015JG003131" target="_blank">https://doi.org/10.1002/2015JG003131</a>, 2016.
</mixed-citation></ref-html>
<ref-html id="bib1.bib7"><label>7</label><mixed-citation>
Brooks, P., Chorover, J., Fan, Y., Godsey, S. E., Maxwell, R. M., McNamara, J., and Tague, C.:
Hydrological partitioning in the critical zone: Recent advances and opportunities for developing transferable understanding of water cycle dynamics, Water Resour. Res., 51, 6973–6987, <a href="https://doi.org/10.1002/2015WR017039" target="_blank">https://doi.org/10.1002/2015WR017039</a>, 2015.
</mixed-citation></ref-html>
<ref-html id="bib1.bib8"><label>8</label><mixed-citation>
Brutsaert, W. and Hiyama, T.: The determination of permafrost thawing trends from long-term streamflow measurements with an application in eastern Siberia, J. Geophys. Res.-Atmos., 117, D22110, <a href="https://doi.org/10.1029/2012JD018344" target="_blank">https://doi.org/10.1029/2012JD018344</a>, 2012.
</mixed-citation></ref-html>
<ref-html id="bib1.bib9"><label>9</label><mixed-citation>
Brutsaert, W. and Nieber, J. L.:
Regionalized drought flow hydrographs from a mature glaciated plateau, Water Resour. Res., 13, 637–643, <a href="https://doi.org/10.1029/WR013i003p00637" target="_blank">https://doi.org/10.1029/WR013i003p00637</a>, 1977.
</mixed-citation></ref-html>
<ref-html id="bib1.bib10"><label>10</label><mixed-citation>
Burt, T. P. and Williams, P. J.:
Hydraulic conductivity in frozen soils, Earth Surface Processes, 9, 411–416, <a href="https://doi.org/10.1002/esp.3290010404" target="_blank">https://doi.org/10.1002/esp.3290010404</a>, 1976.
</mixed-citation></ref-html>
<ref-html id="bib1.bib11"><label>11</label><mixed-citation>
Buttle, J. M.:
Mediating stream baseflow response to climate change: The role of basin storage, Hydrol. Process., 32, 363–378, <a href="https://doi.org/10.1002/hyp.11418" target="_blank">https://doi.org/10.1002/hyp.11418</a>, 2018.
</mixed-citation></ref-html>
<ref-html id="bib1.bib12"><label>12</label><mixed-citation>
Cai, L. C., Li, Z. W., You, Y. C., and Huang, C.: Analysis of runoff changes in Lhasa River from 1956 to 2016 and the influencing factors, J. Water Resour. Water Eng., 32, 90–96, 2021.
</mixed-citation></ref-html>
<ref-html id="bib1.bib13"><label>13</label><mixed-citation>
Carey, S. K. and Woo, M. K.:
Freezing of subarctic hillslopes, Wolf Creek Basin, Yukon, Canada, Arct. Antarct. Alp. Res., 37, 1–10, <a href="https://doi.org/10.1657/1523-0430(2005)037[0001:FOSHWC]2.0.CO;2" target="_blank">https://doi.org/10.1657/1523-0430(2005)037[0001:FOSHWC]2.0.CO;2</a>, 2005.
</mixed-citation></ref-html>
<ref-html id="bib1.bib14"><label>14</label><mixed-citation>
Chang, X., Jin, H., He, R., Yang, S., Yu, S., Lv, L., Guo, D., Wang, S., and Kang, X.: Advances in permafrost and cold regions environments studies in the Da Xing'anling (Da Hinggan) mountains, northeastern China, J. Glaciol. Geocryol., 30, 176–82, <a href="https://doi.org/10.1007/s11442-008-0201-7" target="_blank">https://doi.org/10.1007/s11442-008-0201-7</a>, 2008.
</mixed-citation></ref-html>
<ref-html id="bib1.bib15"><label>15</label><mixed-citation>
Cuo, L., Zhang, Y. X., Zhu, F. X., and Liang, L. Q.:
Characteristics and changes of streamflow on the Tibetan Plateau: A review, J. Hydrol., 2, 49–68, <a href="https://doi.org/10.1016/j.ejrh.2014.08.004" target="_blank">https://doi.org/10.1016/j.ejrh.2014.08.004</a>, 2014.
</mixed-citation></ref-html>
<ref-html id="bib1.bib16"><label>16</label><mixed-citation>
Dralle, D., Karst, N., and Thompson, S. E.:
a, b careful: The challenge of scale invariance for comparative analyses in power law models of the streamflow recession, Geophys. Res. Lett., 42, 9285–9293, <a href="https://doi.org/10.1002/2015GL066007" target="_blank">https://doi.org/10.1002/2015GL066007</a>, 2015.
</mixed-citation></ref-html>
<ref-html id="bib1.bib17"><label>17</label><mixed-citation>
Dralle, D. N., Karst, N. J., Charalampous, K., Veenstra, A., and Thompson, S. E.:
Event-scale power law recession analysis: quantifying methodological uncertainty, Hydrol. Earth Syst. Sci., 21, 65–81, <a href="https://doi.org/10.5194/hess-21-65-2017" target="_blank">https://doi.org/10.5194/hess-21-65-2017</a>, 2017.
</mixed-citation></ref-html>
<ref-html id="bib1.bib18"><label>18</label><mixed-citation>
Forster, R. R., Box, J. E., van den Broeke, M. R., Miège, C., Burgess, E. W., van Angelen, J. H., Lenaerts, J. T. M., Koenig, L. S., Paden, J., Lewis, C., Gogineni, S. P., Leuschen, C., and McConnell, J. R.: Extensive liquid meltwater storage in firn within the Greenland ice sheet, Nat. Geosci., 7, 95–98, <a href="https://doi.org/10.1038/ngeo2043" target="_blank">https://doi.org/10.1038/ngeo2043</a>, 2014.
</mixed-citation></ref-html>
<ref-html id="bib1.bib19"><label>19</label><mixed-citation>
Harman, C. J., Sivapalan, M., and Kumar, P.:
Power law catchment-scale recessions arising from heterogeneous linear small-scale dynamics, Water Resour. Res., 45, W12601, <a href="https://doi.org/10.1029/2008WR007392" target="_blank">https://doi.org/10.1029/2008WR007392</a>, 2009.
</mixed-citation></ref-html>
<ref-html id="bib1.bib20"><label>20</label><mixed-citation>
Hayashi, M.:
Alpine Hydrogeology: The Critical Role of Groundwater in Sourcing the Headwaters of the World, Groundwater, 58, 498–510, <a href="https://doi.org/10.1111/gwat.12965" target="_blank">https://doi.org/10.1111/gwat.12965</a>, 2020.
</mixed-citation></ref-html>
<ref-html id="bib1.bib21"><label>21</label><mixed-citation>
He, J., Yang, K., Tang, W., Lu, H., Qin, J., Chen, Y., and Li, X.:
The first high-resolution meteorological forcing dataset for land process studies over China, Scientific Data, 7, 25, <a href="https://doi.org/10.1038/s41597-020-0369-y" target="_blank">https://doi.org/10.1038/s41597-020-0369-y</a>, 2020.
</mixed-citation></ref-html>
<ref-html id="bib1.bib22"><label>22</label><mixed-citation>
Hinzman, A. M., Lyon, S. W., Ploum, S. W., Sjoberg, Y., van der Velde, Y.:
Increasing non-linearity of the storage-discharge relationship in sub-Arctic catchments, Hydrol. Process., 34, 3894–3909, <a href="https://doi.org/10.1002/hyp.13860" target="_blank">https://doi.org/10.1002/hyp.13860</a>, 2020.
</mixed-citation></ref-html>
<ref-html id="bib1.bib23"><label>23</label><mixed-citation>
Ji, F., Fan, L., Andrews, C. B., Yao, Y., and Zheng, C.:
Dynamics of seasonally frozen ground in the Yarlung Zangbo River Basin on the Qinghai-Tibet Plateau: historical trend and future projection, Environ. Res. Lett., 15, 104081, <a href="https://doi.org/10.1088/1748-9326/abb731" target="_blank">https://doi.org/10.1088/1748-9326/abb731</a>, 2020.
</mixed-citation></ref-html>
<ref-html id="bib1.bib24"><label>24</label><mixed-citation>
Juen, I., Kaser, G., and Georges, C.:
Modelling observed and future runoff from a glacierized tropical catchment (Cordillera Blanca, Peru), Global Planet. Change, 59, 37–48, <a href="https://doi.org/10.1016/j.gloplacha.2006.11.038" target="_blank">https://doi.org/10.1016/j.gloplacha.2006.11.038</a>, 2007.
</mixed-citation></ref-html>
<ref-html id="bib1.bib25"><label>25</label><mixed-citation>
Kendall, M. G.:
Rank Correlation Methods, 4th edn., Charles Griffin, London, 1975.
</mixed-citation></ref-html>
<ref-html id="bib1.bib26"><label>26</label><mixed-citation>
Kirchner, J. W.:
Catchments as simple dynamical systems: catchment characterization, rainfall-runoff modeling, and doing hydrology backward, Water Resour. Res., 45, W02429, <a href="https://doi.org/10.1029/2008WR006912" target="_blank">https://doi.org/10.1029/2008WR006912</a>, 2009.
</mixed-citation></ref-html>
<ref-html id="bib1.bib27"><label>27</label><mixed-citation>
Koch, J. C., Kikuchi, C. P., Wickland, K. P., and Schuster, P.:
Runoff sources and flow paths in a partially burned, upland boreal catchment underlain by permafrost, Water Resour. Res., 50, 8141–8158. <a href="https://doi.org/10.1002/2014WR015586" target="_blank">https://doi.org/10.1002/2014WR015586</a>, 2014.
</mixed-citation></ref-html>
<ref-html id="bib1.bib28"><label>28</label><mixed-citation>
Lamontagne-Hallé, P., McKenzie, J. M., Kurylyk, B. L., and Zipper, S. C.:
Changing groundwater discharge dynamics in permafrost regions, Environ. Res. Lett., 13, 084017, <a href="https://doi.org/10.1088/1748-9326/aad404" target="_blank">https://doi.org/10.1088/1748-9326/aad404</a>, 2018.
</mixed-citation></ref-html>
<ref-html id="bib1.bib29"><label>29</label><mixed-citation>
Li, Z. J., Li, Z. X., Song, L. L., Ma, J. Z., and Song Y.:
Environment significance and hydrochemical characteristics of suprapermafrost water in the source region of the Yangtze River, Sci. Total Environ., 644, 1141–1151, <a href="https://doi.org/10.1016/j.scitotenv.2018.07.029" target="_blank">https://doi.org/10.1016/j.scitotenv.2018.07.029</a>, 2018.
</mixed-citation></ref-html>
<ref-html id="bib1.bib30"><label>30</label><mixed-citation>
Lin, L., Gao, M., Liu, J., Wang, J., Wang, S., Chen, X., and Liu, H.:
Understanding the effects of climate warming on streamflow and active groundwater storage in an alpine catchment: the upper Lhasa River, Hydrol. Earth Syst. Sci., 24, 1145–1157, <a href="https://doi.org/10.5194/hess-24-1145-2020" target="_blank">https://doi.org/10.5194/hess-24-1145-2020</a>, 2020.
</mixed-citation></ref-html>
<ref-html id="bib1.bib31"><label>31</label><mixed-citation>
Liu, J. P. and Zhang, W. C.:
Spatial variability in degree-day f actors in Yarlung Zangpo River Basin, China, Journal of University of Chinese Academy of Sciences, 35, 704–711. 2018.
</mixed-citation></ref-html>
<ref-html id="bib1.bib32"><label>32</label><mixed-citation>
Liu, Z., Yao, Z., Huang, H., Wu, S., and Liu, G.:
Land use and climate changes and their impacts on Runoff in the Yarlung Zangpo River Basin, China, Land Degrad. Dev., 25, 203–215, <a href="https://doi.org/10.1002/ldr.1159" target="_blank">https://doi.org/10.1002/ldr.1159</a>, 2014.
</mixed-citation></ref-html>
<ref-html id="bib1.bib33"><label>33</label><mixed-citation>
Lyon, S. W. and Destouni, G.:
Changes in catchment-scale recession flow properties in response to permafrost thawing in the Yukon River basin, Int. J. Climatol., 30, 2138–2145, <a href="https://doi.org/10.1002/joc.1993" target="_blank">https://doi.org/10.1002/joc.1993</a>, 2010.
</mixed-citation></ref-html>
<ref-html id="bib1.bib34"><label>34</label><mixed-citation>
Lyon, S. W., Destouni, G., Giesler, R., Humborg, C., Mörth, M., Seibert, J., Karlsson, J., and Troch, P. A.:
Estimation of permafrost thawing rates in a sub-arctic catchment using recession flow analysis, Hydrol. Earth Syst. Sci., 13, 595–604, <a href="https://doi.org/10.5194/hess-13-595-2009" target="_blank">https://doi.org/10.5194/hess-13-595-2009</a>, 2009.
</mixed-citation></ref-html>
<ref-html id="bib1.bib35"><label>35</label><mixed-citation>
Mallakpour, I. and Villarini, G.: A simulation study to examine the sensitivity of the Pettitt test to detect abrupt changes in mean, International Association of Scientific Hydrology Bulletin, 61, 245–254, <a href="https://doi.org/10.1080/02626667.2015.1008482" target="_blank">https://doi.org/10.1080/02626667.2015.1008482</a>, 2016.
</mixed-citation></ref-html>
<ref-html id="bib1.bib36"><label>36</label><mixed-citation>
Mann, H.:
Non-parametric test against trend, Econometrical, 13, 245–259, <a href="https://doi.org/10.2307/1907187" target="_blank">https://doi.org/10.2307/1907187</a>, 1945.
</mixed-citation></ref-html>
<ref-html id="bib1.bib37"><label>37</label><mixed-citation>
Mao, T. and Wang, G.: Analysis on characteristics of low-flow based on the monthly runoff recession coefficient in the Three-river headwaters region, Resources and environment in the Yangtze basin, Resour. Environ. Yangtze Basin, 25, 1150–1157, 2016.
</mixed-citation></ref-html>
<ref-html id="bib1.bib38"><label>38</label><mixed-citation>
Niu, F. J., Gao, Z. Y., Lin, Z. J., Luo, J., and Fan, X. W.: Vegetation influence on the soil hydrological regime in permafrost regions of the Qinghai–Tibet Plateau, China, Geoderma, 354, 113892, <a href="https://doi.org/10.1016/j.geoderma.2019.113892" target="_blank">https://doi.org/10.1016/j.geoderma.2019.113892</a>, 2019.
</mixed-citation></ref-html>
<ref-html id="bib1.bib39"><label>39</label><mixed-citation>
Payn, R. A., Gooseff, M. N., McGlynn, B. L., Bencala, K. E., and Wondzell, S. M.:
Exploring changes in the spatial distribution of stream baseflow generation during a seasonal recession, Water Resour. Res., 48, 519, <a href="https://doi.org/10.1029/2011WR011552" target="_blank">https://doi.org/10.1029/2011WR011552</a>, 2012.
</mixed-citation></ref-html>
<ref-html id="bib1.bib40"><label>40</label><mixed-citation>
Pepin, N., Bradley, R. S., Diaz, H. F., Baraer, M., Caceres, E. B., Forsythe, N., Fowler, H., Greenwood, G., Hashmi, M., Liu, X. D.,  Miller, J. R., Ning, L., Ohmura, A., Palazzi, E., Rangwala, I., Schöner, W., Severskiy, I., Shahgedanova, M., Wang, M. B., Williamson, S. N., and Yang, D. Q.: Elevation dependent warming in mountain regions of the world, Nat. Clim. Change, 5, 424–430, <a href="https://doi.org/10.1038/nclimate2563" target="_blank">https://doi.org/10.1038/nclimate2563</a>, 2015.
</mixed-citation></ref-html>
<ref-html id="bib1.bib41"><label>41</label><mixed-citation>
Pettitt, A. N.:
A non-parametric approach to the change-point problem, J. R. Stat. Soc., 28, 126–135, <a href="https://doi.org/10.2307/2346729" target="_blank">https://doi.org/10.2307/2346729</a>, 1979.
</mixed-citation></ref-html>
<ref-html id="bib1.bib42"><label>42</label><mixed-citation>
Ren, W., Yao, T., and Xie, S.:
Stable isotopic composition reveals the spatial and temporal dynamics of discharge in the large river of Yarlungzangbo in the Tibetan Plateau, Sci. Total Environ., 625, 373–381, <a href="https://doi.org/10.1016/j.scitotenv.2017.12.310" target="_blank">https://doi.org/10.1016/j.scitotenv.2017.12.310</a>, 2018.
</mixed-citation></ref-html>
<ref-html id="bib1.bib43"><label>43</label><mixed-citation>
Sen, P. K.:
Estimates of the regression coefficient based on Kendall's tau, J. Am. Stat. Assoc., 63, 1379–1389, <a href="https://doi.org/10.1080/01621459.1968.10480934" target="_blank">https://doi.org/10.1080/01621459.1968.10480934</a>, 1968.
</mixed-citation></ref-html>
<ref-html id="bib1.bib44"><label>44</label><mixed-citation>
Shi, D., Tan, H., Chen, X., Rao, W., and Renci, B.: Uncovering the mechanisms of seasonal river–groundwater circulation using isotopes and water chemistry in the middle reaches of the Yarlungzangbo River, Tibet, J. Hydrol., 603, 127010, <a href="https://doi.org/10.1016/j.jhydrol.2021.127010" target="_blank">https://doi.org/10.1016/j.jhydrol.2021.127010</a>, 2021.
</mixed-citation></ref-html>
<ref-html id="bib1.bib45"><label>45</label><mixed-citation>
Su, F., Zhang, L., Ou, T., Chen, D., Yao, T., Tong, K., and Qi, Y.:
Hydrological response to future climate changes for the major upstream river basins in the Tibetan Plateau, Global Planet. Change, 136, 82–95, <a href="https://doi.org/10.1016/j.gloplacha.2015.10.012" target="_blank">https://doi.org/10.1016/j.gloplacha.2015.10.012</a>, 2015.
</mixed-citation></ref-html>
<ref-html id="bib1.bib46"><label>46</label><mixed-citation>
Tallaksen, L. M.:
A review of baseflow recession analysis, J. Hydrol., 165, 349–370, <a href="https://doi.org/10.1016/0022-1694(94)02540-R" target="_blank">https://doi.org/10.1016/0022-1694(94)02540-R</a>, 1995.
</mixed-citation></ref-html>
<ref-html id="bib1.bib47"><label>47</label><mixed-citation>
Tan, H., Chen, X., Shi, D., Rao, W., Liu, J., Liu, J., Eastoe, C. J., and Wang, J.: Base flow in the Yarlungzangbo River, Tibet, maintained by the isotopically-depleted precipitation and groundwater discharge, Sci. Total Environ., 759, 143510, <a href="https://doi.org/10.1016/j.scitotenv.2020.143510" target="_blank">https://doi.org/10.1016/j.scitotenv.2020.143510</a>, 2021.
</mixed-citation></ref-html>
<ref-html id="bib1.bib48"><label>48</label><mixed-citation>
Tashie, A., Pavelsky, T., and Emanuel, R. E.: Spatial and temporal patterns in baseflow recession in the continental United States, Water Resour. Res., 56, e2019WR026425, <a href="https://doi.org/10.1029/2019WR026425" target="_blank">https://doi.org/10.1029/2019WR026425</a>, 2020.
</mixed-citation></ref-html>
<ref-html id="bib1.bib49"><label>49</label><mixed-citation>
Tashie, A. M., Scaife, C. I., and Band, L. E.:
Transpiration and subsurface controls on streamflow recession characteristics, Hydrol. Process., 33, 2561–2575, <a href="https://doi.org/10.1002/hyp.13530" target="_blank">https://doi.org/10.1002/hyp.13530</a>, 2019.
</mixed-citation></ref-html>
<ref-html id="bib1.bib50"><label>50</label><mixed-citation>
Tian, F., Xu, R., Nan, Y., Li, K., and He, Z.:
Quantification of runoff components in the Yarlung Tsangpo River using a distributed hydrological model, Advances in Water Science, 31, 324–336, <a href="https://doi.org/10.14042/j.cnki.32.1309.2020.03.002" target="_blank">https://doi.org/10.14042/j.cnki.32.1309.2020.03.002</a>, 2020 (in Chinese).
</mixed-citation></ref-html>
<ref-html id="bib1.bib51"><label>51</label><mixed-citation>
Vuille, M., Kaser, G., and Juen, I.:
Glacier mass balance variability in the Cordillera Blanca, Peru and its relationship with climate and the large-scale circulation, Global Planet. Change, 62, 14–28, <a href="https://doi.org/10.1016/j.gloplacha.2007.11.003" target="_blank">https://doi.org/10.1016/j.gloplacha.2007.11.003</a>, 2008.
</mixed-citation></ref-html>
<ref-html id="bib1.bib52"><label>52</label><mixed-citation>
Walvoord, M. A. and Kurylyk, B. L.:
Hydrologic impacts of thawing permafrost – A review, Vadose Zone J., 15, 1–20, <a href="https://doi.org/10.2136/vzj2016.01.0010" target="_blank">https://doi.org/10.2136/vzj2016.01.0010</a>, 2016.
</mixed-citation></ref-html>
<ref-html id="bib1.bib53"><label>53</label><mixed-citation>
Walvoord, M. A. and Striegl, R. G.:
Increased groundwater to stream discharge from permafrost thawing in the Yukon River basin: Potential impacts on lateral export of carbon and nitrogen, Geophys. Res. Lett., 34, 123–134, <a href="https://doi.org/10.1029/2007GL030216" target="_blank">https://doi.org/10.1029/2007GL030216</a>, 2007.
</mixed-citation></ref-html>
<ref-html id="bib1.bib54"><label>54</label><mixed-citation>
Walvoord, M. A., Voss, C. I., and Wellman, T. P.:
Influence of permafrost distribution on groundwater flow in the context of climate-driven permafrost thaw: Example from Yukon Flats Basin, Alaska, USA, Water Resour. Res., 48, 524, <a href="https://doi.org/10.1029/2011WR011595" target="_blank">https://doi.org/10.1029/2011WR011595</a>, 2012.
</mixed-citation></ref-html>
<ref-html id="bib1.bib55"><label>55</label><mixed-citation>
Wang, J., Chen, X., Hu, Q., and Liu, J.: Responses of terrestrial water storage to climate variation in the Tibetan Plateau, J. Hydrol., 584, 124652, <a href="https://doi.org/10.1016/j.jhydrol.2020.124652" target="_blank">https://doi.org/10.1016/j.jhydrol.2020.124652</a>, 2020.
</mixed-citation></ref-html>
<ref-html id="bib1.bib56"><label>56</label><mixed-citation>
Wang, J., Chen, X., Liu, J., and Hu, Q.: Changes of precipitation-runoff relationship induced by climate variation in a large glaciated basin of the Tibetan Plateau, J. Geophys. Res.-Atmos., 126, e2020JD034367, <a href="https://doi.org/10.1029/2020JD034367" target="_blank">https://doi.org/10.1029/2020JD034367</a>, 2021.
</mixed-citation></ref-html>
<ref-html id="bib1.bib57"><label>57</label><mixed-citation>
Wang, Y. H., Yang, H. B., Gao, B., Wang, T. H., Qin, Y., and Yang, D. W.:
Frozen ground degradation may reduce future runoff in the headwaters of an inland river on the northeastern Tibetan Plateau, J. Hydrol., 564, 1153–1164, <a href="https://doi.org/10.1016/j.jhydrol.2018.07.078" target="_blank">https://doi.org/10.1016/j.jhydrol.2018.07.078</a>, 2018.
</mixed-citation></ref-html>
<ref-html id="bib1.bib58"><label>58</label><mixed-citation>
Wright, N., Hayashi, M., and Quinton, W. L.: Spatial and temporal variations in active layer thawing and their implication on run-off generation in peat-covered permafrost terrain, Water Resour. Res., 45, W05414, <a href="https://doi.org/10.1029/2008WR006880" target="_blank">https://doi.org/10.1029/2008WR006880</a>, 2009.

</mixed-citation></ref-html>
<ref-html id="bib1.bib59"><label>59</label><mixed-citation>
Xu, X., Wu, Q., and Zhang, Z.: Responses of active layer thickness on the Qinghai Tibet Plateau to climate change, Journal of Glaciology and Geocryology, 39, 1–8, 2017.
</mixed-citation></ref-html>
<ref-html id="bib1.bib60"><label>60</label><mixed-citation>
Yamazaki, Y., Kubota, J., Ohata, T., Vuglinsky, V., and Mizuyama, T.:
Seasonal changes in runoff characteristics on a permafrost watershed in the southern mountainous regions of eastern Siberia, Hydrol. Process., 20, 453–467, <a href="https://doi.org/10.1002/hyp.5914" target="_blank">https://doi.org/10.1002/hyp.5914</a>, 2006.
</mixed-citation></ref-html>
<ref-html id="bib1.bib61"><label>61</label><mixed-citation>
Yang, K., and He, J.:
China meteorological forcing dataset (1979–2018), National Tibetan Plateau Data Center [data set], <a href="https://doi.org/10.11888/AtmosphericPhysics.tpe.249369.file" target="_blank">https://doi.org/10.11888/AtmosphericPhysics.tpe.249369.file</a>, 2019.
</mixed-citation></ref-html>
<ref-html id="bib1.bib62"><label>62</label><mixed-citation>
Yao, T. D., Wang, Y. Q., Liu, S. Y., Pu, J. C., Shen, Y. P., and Lu, A. X.:
Recent glacial retreat in high Asia in China and its impact on water resource in northwest China, Sci. China Ser. D, 47, 1065–1075, <a href="https://doi.org/10.1360/03yd0256" target="_blank">https://doi.org/10.1360/03yd0256</a>, 2004.
</mixed-citation></ref-html>
<ref-html id="bib1.bib63"><label>63</label><mixed-citation>
Yao, T., Pu, J., Lu, A., Wang, Y., and Yu, W.: Recent glacial retreat and its impact on hydrological processes on the Tibetan Plateau, China, and surrounding regions, Arct. Antarct. Alp. Res., 39, 642–650,
<a href="https://doi.org/10.1657/1523-0430(07-510)[YAO]2.0.CO;2" target="_blank">https://doi.org/10.1657/1523-0430(07-510)[YAO]2.0.CO;2</a>, 2007.
</mixed-citation></ref-html>
<ref-html id="bib1.bib64"><label>64</label><mixed-citation>
Yao, Y., Zheng, C., Andrews, C. B., Scanlon, B. R., Kuang, X., Zeng, Z., Jeong, S.-J., Lancia, M., Wu, Y., Li, G.:
Role of groundwater in sustaining northern Himalayan rivers, Geophys. Res. Lett., 48, e2020GL092354, <a href="https://doi.org/10.1029/2020GL092354" target="_blank">https://doi.org/10.1029/2020GL092354</a>, 2021.
</mixed-citation></ref-html>
<ref-html id="bib1.bib65"><label>65</label><mixed-citation>
Yi, W., Feng, Y., Liang, S., Kuang, X., Yan, D., and Wan, L.: Increasing annual streamflow and groundwater storage in response to climate warming in the Yangtze river source region, Environ. Res. Lett., 16, 084011, <a href="https://doi.org/10.1088/1748-9326/ac0f27" target="_blank">https://doi.org/10.1088/1748-9326/ac0f27</a>, 2021.
</mixed-citation></ref-html>
<ref-html id="bib1.bib66"><label>66</label><mixed-citation>
Yue, S. and Wang, C. Y.: Applicability of pre-whitening to eliminate the influence of serial correlation on the Mann–Kendall test, Water Resour. Res., 38, 41–47, <a href="https://doi.org/10.1029/2001WR000861" target="_blank">https://doi.org/10.1029/2001WR000861</a>, 2002.
</mixed-citation></ref-html>
<ref-html id="bib1.bib67"><label>67</label><mixed-citation>
Zhang, D., Huang, J., Guan, X., Chen, B., and Zhang, L.:
Long-term trends of perceptible water and precipitation over the Tibetan Plateau derived from satellite and surface measurements, J. Quant. Spectrosc. Ra., 122, 64–71, <a href="https://doi.org/10.1016/j.jqsrt.2012.11.028" target="_blank">https://doi.org/10.1016/j.jqsrt.2012.11.028</a>, 2013.
</mixed-citation></ref-html>--></article>
